Methods
Raw data
Data was collected at a single university medical center.
missing.ix <- Reduce(intersect, apply(df.HMII[,bcellcyto], 2, function(x) which(is.na(x))))
df.raw <- df.HMII[-missing.ix,]
df.raw <- df.raw[order(df.raw$PatientID),]
rownames(df.raw) <- 1:nrow(df.raw)
kable(df.raw,
digits = 3,
row.names = T,
caption = "HeartMate-II Raw Data"
) %>%
kable_styling(bootstrap_options = c("striped",
"hover",
"condensed",
"responsive"),
font_size = 12) %>%
scroll_box(width = "100%", height = "300px")
HeartMate-II Raw Data
|
|
PatientID
|
Time
|
Age
|
AgeGreater60
|
Sex
|
LowIntermacs
|
InterMACS
|
RVAD
|
Sensitized
|
VAD Indication
|
Device Type
|
Outcome
|
Survival
|
num Total PBMC
|
num lymph
|
lymph
|
live lymph
|
CD3 of live lymph
|
CD19 of live lymph
|
CD19+CD27-
|
CD19+CD27+
|
CD27+38++plasma blasts
|
CD27-38++ transitional
|
CD27-IgD+ mature naive
|
CD27+IgD- switched memory
|
CD27-IgD- switched memory
|
CD27+IgD+ unswitched memory
|
CD27+IgD-IgM+ switched memory
|
CD27+IgD+IgM+ nonswitched memory
|
CD19+27+IgG+IgM- memory
|
CD19+24dim38dim naive mature
|
CD19+24+38++transitional
|
CD19CD24hiCD38-memory
|
CD19+27-38+CD5+transitionals
|
CD19+CD268+
|
CD268 of +27-38++transitional
|
CD19+CD11b+
|
CD19+CD5+
|
CD19+CD27+CD24hi
|
CD19+CD5+CD24hi
|
CD19+CD5+CD11b+
|
CD19+27+IgD-38++IgG ASC
|
IL-12(p40)
|
IL-12(p70)
|
IFN-g
|
TNF-a
|
TNF-b
|
IL-4
|
IL-5
|
IL-9
|
IL-10
|
IL-13
|
IL-17A
|
IL-1a
|
IL-1b
|
IL-2
|
IL-3
|
IL-6
|
IL-15
|
TGF-a
|
IFN-a2
|
IL-8
|
GRO
|
Eotaxin
|
MDC
|
IP-10
|
MCP-1
|
MCP-3
|
Fractalkine
|
MIP-1a
|
MIP-1b
|
GM-CSF
|
IL-7
|
G-CSF
|
VEGF
|
EGF
|
FGF-2
|
Flt-3L
|
IL-1RA
|
sCD40L
|
|
1
|
1
|
0
|
65
|
older
|
Male
|
High
|
2
|
No
|
NA
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
169154
|
35496
|
20.98
|
99.53
|
25.37
|
19.82
|
86.02
|
13.98
|
1.26
|
2.54
|
57.81
|
11.74
|
28.06
|
2.39
|
21.74
|
14.36
|
0.72
|
81.05
|
2.86
|
13.60
|
0.58
|
95.22
|
84.83
|
10.47
|
4.33
|
8.50
|
1.39
|
3.13
|
1.09
|
1.71
|
2.16
|
124.000
|
20.926
|
2.72
|
2.500
|
1.010
|
7.273
|
4.617
|
1.760
|
21.20
|
277.000
|
3.483
|
9.878
|
1.160
|
12.334
|
1.090
|
5.71
|
2.18
|
45.38
|
126.00
|
119.000
|
525.00
|
1174
|
392
|
3.03
|
27.25
|
2.030
|
47.654
|
60.843
|
1.268
|
33.267
|
486.000
|
54.27
|
6.05
|
1.92
|
4.47
|
793.00
|
|
2
|
1
|
1
|
65
|
older
|
Male
|
High
|
2
|
No
|
NA
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
63082
|
9915
|
15.72
|
99.26
|
32.45
|
26.26
|
90.06
|
9.94
|
0.89
|
2.09
|
54.27
|
7.70
|
35.71
|
2.32
|
31.10
|
20.47
|
1.57
|
84.06
|
2.59
|
10.79
|
0.26
|
97.02
|
92.59
|
7.50
|
3.13
|
6.42
|
1.32
|
2.44
|
1.49
|
1.71
|
1.71
|
156.000
|
24.857
|
2.72
|
2.500
|
1.010
|
1.270
|
48.726
|
1.760
|
29.97
|
388.000
|
1.350
|
1.952
|
1.160
|
109.000
|
5.715
|
3.89
|
3.18
|
102.00
|
191.00
|
95.541
|
463.00
|
1079
|
552
|
3.03
|
35.53
|
2.030
|
62.089
|
12.293
|
2.005
|
109.000
|
509.000
|
64.48
|
26.13
|
1.92
|
19.50
|
841.00
|
|
3
|
1
|
3
|
65
|
older
|
Male
|
High
|
2
|
No
|
NA
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
75921
|
21721
|
28.61
|
99.31
|
24.86
|
33.01
|
86.38
|
13.62
|
1.54
|
1.26
|
45.74
|
10.98
|
40.44
|
2.84
|
31.80
|
18.04
|
1.15
|
86.21
|
4.82
|
6.56
|
0.24
|
90.41
|
73.33
|
10.00
|
7.25
|
10.12
|
3.22
|
5.67
|
2.05
|
32.32
|
14.40
|
259.000
|
28.330
|
14.74
|
12.770
|
3.369
|
5.615
|
28.055
|
7.406
|
54.61
|
438.000
|
3.867
|
8.638
|
3.690
|
57.616
|
12.778
|
5.85
|
56.84
|
121.00
|
193.00
|
186.000
|
510.00
|
1365
|
464
|
35.08
|
152.00
|
2.030
|
87.775
|
44.032
|
10.100
|
81.038
|
687.000
|
70.06
|
117.00
|
1.92
|
151.00
|
801.00
|
|
4
|
1
|
5
|
65
|
older
|
Male
|
High
|
2
|
No
|
NA
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
1.71
|
5.07
|
134.000
|
41.230
|
2.72
|
2.813
|
1.809
|
4.930
|
23.012
|
1.760
|
26.38
|
316.000
|
1.219
|
1.230
|
2.735
|
15.579
|
5.021
|
2.73
|
25.80
|
78.31
|
231.00
|
213.000
|
462.00
|
2053
|
583
|
4.14
|
104.00
|
2.030
|
55.375
|
49.222
|
6.820
|
29.004
|
414.000
|
61.03
|
43.25
|
1.92
|
64.51
|
1230.00
|
|
5
|
1
|
8
|
65
|
older
|
Male
|
High
|
2
|
No
|
NA
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
213808
|
36002
|
16.84
|
99.19
|
35.95
|
14.55
|
67.94
|
32.06
|
4.06
|
2.17
|
27.92
|
28.92
|
39.64
|
3.52
|
20.31
|
9.10
|
1.33
|
68.69
|
7.10
|
20.42
|
1.88
|
87.38
|
44.25
|
10.78
|
11.12
|
19.15
|
5.54
|
7.35
|
1.07
|
1.71
|
3.83
|
228.000
|
23.577
|
2.81
|
2.500
|
1.666
|
6.792
|
39.103
|
1.760
|
43.65
|
450.000
|
2.412
|
6.904
|
2.197
|
19.163
|
2.445
|
3.75
|
19.72
|
56.79
|
134.00
|
184.000
|
496.00
|
1214
|
430
|
3.03
|
90.07
|
2.030
|
72.549
|
44.681
|
4.448
|
51.520
|
735.000
|
78.74
|
94.11
|
1.92
|
133.00
|
912.00
|
|
6
|
1
|
21
|
65
|
older
|
Male
|
High
|
2
|
No
|
NA
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
106970
|
31867
|
29.79
|
99.18
|
42.36
|
15.02
|
84.69
|
15.31
|
1.94
|
2.11
|
55.41
|
13.14
|
29.13
|
2.32
|
20.22
|
12.88
|
2.08
|
83.21
|
5.20
|
9.50
|
1.10
|
94.44
|
73.00
|
9.04
|
6.99
|
9.22
|
2.80
|
4.78
|
1.44
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
7
|
3
|
0
|
81
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
119377
|
77509
|
64.93
|
99.61
|
58.50
|
7.99
|
62.67
|
37.33
|
9.10
|
4.82
|
36.73
|
31.90
|
25.62
|
5.74
|
11.47
|
8.95
|
0.40
|
69.54
|
7.69
|
9.41
|
2.61
|
76.44
|
57.91
|
23.29
|
20.76
|
15.39
|
5.42
|
14.90
|
2.60
|
6.39
|
6.65
|
11.372
|
21.497
|
3.51
|
2.320
|
6.303
|
1.590
|
6.039
|
2.111
|
5.18
|
4.727
|
1.920
|
1.450
|
2.558
|
38.074
|
5.729
|
2.57
|
19.65
|
32.02
|
123.00
|
133.000
|
380.00
|
1899
|
1054
|
26.14
|
112.00
|
2.230
|
32.026
|
20.483
|
7.783
|
58.902
|
70.513
|
7.02
|
95.30
|
0.39
|
89.23
|
624.00
|
|
8
|
3
|
1
|
81
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
41.70
|
5.35
|
39.418
|
40.838
|
13.66
|
17.416
|
2.457
|
4.050
|
57.842
|
9.006
|
7.14
|
46.122
|
4.879
|
6.666
|
3.299
|
119.000
|
26.234
|
2.86
|
67.14
|
112.00
|
206.00
|
180.000
|
411.00
|
1271
|
4441
|
35.46
|
169.00
|
33.419
|
100.000
|
54.262
|
5.253
|
43.646
|
118.000
|
24.49
|
79.63
|
0.39
|
224.00
|
1714.00
|
|
9
|
3
|
3
|
81
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
96940
|
57658
|
59.48
|
99.70
|
55.52
|
9.21
|
72.15
|
27.85
|
3.85
|
3.82
|
48.41
|
21.75
|
23.49
|
6.35
|
12.10
|
16.04
|
0.28
|
75.30
|
3.72
|
6.65
|
2.11
|
80.52
|
67.33
|
15.80
|
15.23
|
6.71
|
1.32
|
8.86
|
0.26
|
17.15
|
6.00
|
20.672
|
15.342
|
7.00
|
5.509
|
7.681
|
2.040
|
8.932
|
3.799
|
4.45
|
17.129
|
2.699
|
3.725
|
3.108
|
25.794
|
15.326
|
2.57
|
74.20
|
34.62
|
85.04
|
162.000
|
348.00
|
897
|
1361
|
21.65
|
102.00
|
6.821
|
27.057
|
24.672
|
5.253
|
34.257
|
70.513
|
13.56
|
63.96
|
0.39
|
118.00
|
1014.00
|
|
10
|
3
|
5
|
81
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
154373
|
73969
|
47.92
|
99.65
|
45.18
|
8.77
|
67.36
|
32.64
|
6.59
|
2.77
|
39.10
|
26.28
|
27.95
|
6.67
|
17.89
|
15.71
|
0.39
|
71.57
|
6.26
|
9.88
|
1.78
|
81.86
|
72.07
|
20.12
|
20.17
|
14.80
|
5.99
|
14.65
|
3.71
|
4.28
|
2.29
|
12.657
|
16.490
|
2.31
|
2.320
|
6.816
|
1.590
|
6.845
|
1.520
|
4.74
|
2.120
|
1.920
|
1.450
|
1.980
|
99.474
|
11.334
|
1.58
|
47.29
|
61.82
|
48.64
|
192.000
|
320.00
|
738
|
1071
|
10.05
|
46.41
|
2.230
|
21.777
|
11.020
|
1.520
|
37.403
|
27.750
|
2.89
|
23.91
|
0.39
|
52.69
|
361.00
|
|
11
|
3
|
8
|
81
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
155610
|
63375
|
40.73
|
99.51
|
38.42
|
12.40
|
71.69
|
28.31
|
4.36
|
2.62
|
37.82
|
23.43
|
33.50
|
5.24
|
17.37
|
14.92
|
0.60
|
65.04
|
2.80
|
11.23
|
2.54
|
83.55
|
37.56
|
15.55
|
15.45
|
9.55
|
2.66
|
10.91
|
0.28
|
8.54
|
4.12
|
17.955
|
15.342
|
3.51
|
2.320
|
6.816
|
1.590
|
6.439
|
1.605
|
5.62
|
13.939
|
2.314
|
1.782
|
2.042
|
79.869
|
8.070
|
2.42
|
84.63
|
34.26
|
38.88
|
162.000
|
335.00
|
822
|
1054
|
16.46
|
84.38
|
2.980
|
19.937
|
20.483
|
2.734
|
21.566
|
90.169
|
10.50
|
41.25
|
0.39
|
77.29
|
562.00
|
|
12
|
3
|
14
|
81
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
244245
|
115109
|
47.13
|
99.47
|
47.40
|
9.37
|
67.50
|
32.50
|
3.99
|
2.08
|
50.08
|
26.01
|
17.22
|
6.68
|
15.34
|
15.25
|
0.23
|
77.86
|
3.21
|
10.49
|
1.48
|
82.13
|
59.19
|
21.45
|
19.77
|
14.45
|
2.57
|
14.94
|
0.94
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
13
|
4
|
1
|
58
|
younger
|
Male
|
Low
|
3
|
Yes
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
246811
|
86529
|
35.06
|
93.49
|
67.96
|
17.48
|
81.66
|
18.34
|
2.05
|
6.85
|
51.33
|
13.69
|
29.91
|
5.08
|
15.68
|
5.94
|
0.19
|
61.95
|
0.76
|
13.51
|
4.07
|
92.62
|
34.06
|
6.90
|
12.07
|
8.00
|
2.54
|
3.85
|
0.26
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
14
|
4
|
3
|
58
|
younger
|
Male
|
Low
|
3
|
Yes
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
406771
|
90343
|
22.21
|
97.34
|
49.28
|
17.02
|
75.04
|
24.96
|
4.47
|
18.36
|
28.45
|
21.86
|
46.07
|
3.62
|
24.97
|
4.33
|
0.13
|
47.41
|
1.64
|
19.70
|
18.15
|
72.76
|
8.08
|
25.69
|
28.35
|
13.95
|
4.66
|
19.20
|
0.41
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
15
|
4
|
21
|
58
|
younger
|
Male
|
Low
|
3
|
Yes
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
330191
|
81636
|
24.72
|
94.57
|
45.14
|
14.70
|
70.51
|
29.49
|
8.94
|
16.23
|
38.92
|
23.53
|
30.83
|
6.72
|
23.93
|
7.07
|
0.18
|
46.63
|
2.35
|
16.12
|
8.59
|
74.45
|
39.90
|
24.19
|
21.18
|
12.62
|
3.26
|
12.93
|
0.38
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
16
|
7
|
0
|
65
|
older
|
Female
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
1073919
|
336538
|
31.34
|
100.00
|
63.29
|
14.80
|
93.05
|
6.95
|
0.73
|
8.05
|
75.49
|
4.55
|
19.16
|
0.80
|
7.25
|
8.78
|
28.04
|
88.72
|
2.51
|
5.18
|
1.02
|
90.49
|
68.18
|
2.32
|
4.09
|
1.69
|
3.48
|
1.27
|
5.78
|
103.00
|
34.40
|
73.796
|
17.487
|
330.00
|
74.260
|
18.401
|
16.683
|
51.466
|
82.515
|
12.80
|
150.000
|
15.178
|
15.208
|
9.970
|
26.235
|
21.107
|
8.44
|
133.00
|
39.26
|
415.00
|
111.000
|
298.00
|
443
|
296
|
138.00
|
125.00
|
10.503
|
37.240
|
39.468
|
13.629
|
111.000
|
409.000
|
77.43
|
78.89
|
10.95
|
301.00
|
5998.00
|
|
17
|
7
|
1
|
65
|
older
|
Female
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
270301
|
97229
|
35.97
|
91.63
|
18.43
|
61.67
|
97.68
|
2.32
|
0.20
|
5.85
|
69.45
|
1.63
|
28.19
|
0.73
|
27.57
|
21.43
|
17.05
|
84.32
|
7.26
|
2.73
|
0.84
|
99.44
|
97.60
|
0.54
|
2.64
|
1.51
|
3.63
|
0.29
|
3.40
|
16.38
|
6.78
|
46.507
|
34.398
|
28.79
|
11.752
|
0.814
|
4.999
|
1481.000
|
8.712
|
8.92
|
17.769
|
2.325
|
4.279
|
2.360
|
63.109
|
16.386
|
5.90
|
34.66
|
152.00
|
295.00
|
55.059
|
278.00
|
1037
|
409
|
21.48
|
40.32
|
6.177
|
30.898
|
20.452
|
2.676
|
177.000
|
224.000
|
36.40
|
47.22
|
0.92
|
160.00
|
5604.00
|
|
18
|
7
|
3
|
65
|
older
|
Female
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
499016
|
78019
|
15.63
|
89.41
|
25.83
|
51.38
|
92.98
|
7.02
|
0.32
|
4.66
|
51.34
|
6.31
|
41.59
|
0.76
|
36.49
|
5.96
|
22.81
|
73.48
|
6.73
|
7.93
|
0.33
|
98.78
|
96.52
|
1.31
|
2.06
|
5.19
|
2.68
|
0.59
|
2.45
|
16.38
|
6.52
|
31.962
|
18.537
|
34.49
|
16.410
|
2.113
|
4.287
|
78.861
|
9.272
|
9.04
|
17.769
|
2.902
|
2.861
|
3.595
|
11.983
|
22.669
|
9.71
|
14.43
|
38.26
|
183.00
|
56.470
|
219.00
|
307
|
219
|
29.76
|
47.34
|
5.053
|
3.891
|
7.570
|
2.878
|
33.464
|
191.000
|
16.92
|
81.03
|
0.92
|
99.54
|
4583.00
|
|
19
|
7
|
8
|
65
|
older
|
Female
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
115825
|
32513
|
28.07
|
91.04
|
44.61
|
15.76
|
80.52
|
19.48
|
4.16
|
7.82
|
49.91
|
18.37
|
30.52
|
1.20
|
14.87
|
3.33
|
30.19
|
61.08
|
8.70
|
12.56
|
1.58
|
89.80
|
76.71
|
2.87
|
6.07
|
11.12
|
8.08
|
1.59
|
1.17
|
37.61
|
21.91
|
70.846
|
24.832
|
57.61
|
38.448
|
5.988
|
8.685
|
44.610
|
13.488
|
17.95
|
55.857
|
7.772
|
7.570
|
7.238
|
14.443
|
23.376
|
10.40
|
81.88
|
77.46
|
332.00
|
132.000
|
332.00
|
1453
|
632
|
38.47
|
104.00
|
12.646
|
40.206
|
31.261
|
7.509
|
79.659
|
354.000
|
26.71
|
180.00
|
0.92
|
274.00
|
7156.00
|
|
20
|
7
|
21
|
65
|
older
|
Female
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
407080
|
97651
|
23.99
|
91.29
|
66.96
|
12.20
|
84.66
|
15.34
|
2.88
|
5.60
|
61.89
|
13.73
|
22.65
|
1.74
|
20.16
|
7.23
|
29.39
|
68.49
|
5.28
|
10.60
|
1.17
|
92.50
|
54.35
|
3.48
|
6.53
|
9.61
|
8.34
|
1.85
|
2.83
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
21
|
8
|
0
|
43
|
younger
|
Male
|
High
|
2
|
Yes
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
515760
|
266115
|
51.60
|
96.30
|
69.66
|
8.57
|
72.22
|
27.78
|
6.26
|
4.77
|
43.09
|
26.01
|
28.26
|
2.63
|
16.67
|
2.67
|
28.25
|
50.35
|
0.41
|
12.78
|
4.47
|
84.76
|
19.47
|
9.56
|
4.55
|
8.29
|
0.87
|
2.18
|
0.75
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
22
|
8
|
8
|
43
|
younger
|
Male
|
High
|
2
|
Yes
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
539521
|
223872
|
41.49
|
96.72
|
60.02
|
12.63
|
80.13
|
19.87
|
1.66
|
2.48
|
43.56
|
19.52
|
35.24
|
1.68
|
20.46
|
3.67
|
20.54
|
55.76
|
0.18
|
10.80
|
2.43
|
87.82
|
13.25
|
6.55
|
5.96
|
4.65
|
0.95
|
2.51
|
0.65
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
23
|
8
|
21
|
43
|
younger
|
Male
|
High
|
2
|
Yes
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
564317
|
216312
|
38.33
|
97.40
|
55.80
|
4.83
|
74.19
|
25.81
|
5.35
|
5.77
|
37.90
|
25.72
|
34.76
|
1.62
|
17.99
|
2.18
|
31.75
|
61.61
|
0.77
|
13.44
|
6.97
|
76.55
|
6.97
|
10.34
|
11.14
|
4.46
|
0.94
|
5.14
|
2.43
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
24
|
10
|
0
|
43
|
younger
|
Male
|
Low
|
3
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
92221
|
27988
|
30.35
|
85.45
|
55.78
|
1.51
|
85.56
|
14.44
|
0.28
|
0.28
|
55.28
|
4.72
|
39.72
|
0.28
|
0.00
|
1.89
|
1.89
|
89.44
|
0.00
|
2.78
|
0.00
|
15.00
|
0.00
|
3.33
|
0.83
|
0.28
|
0.28
|
3.33
|
0.00
|
7.64
|
8.05
|
12.160
|
18.210
|
2.65
|
2.810
|
2.640
|
2.960
|
12.830
|
1.500
|
2.82
|
2.930
|
1.340
|
0.600
|
2.050
|
88.780
|
4.370
|
4.15
|
28.83
|
39.26
|
873.00
|
84.790
|
386.00
|
413
|
361
|
15.64
|
102.00
|
3.080
|
25.630
|
12.440
|
3.660
|
40.120
|
112.000
|
84.03
|
48.41
|
2.75
|
67.22
|
13502.00
|
|
25
|
10
|
1
|
43
|
younger
|
Male
|
Low
|
3
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
273746
|
46755
|
17.08
|
93.25
|
50.14
|
7.57
|
88.27
|
11.73
|
0.09
|
2.12
|
54.52
|
3.36
|
42.00
|
0.12
|
8.40
|
6.87
|
0.00
|
92.00
|
0.12
|
3.45
|
0.00
|
3.94
|
11.43
|
1.12
|
0.64
|
2.76
|
0.33
|
2.15
|
0.00
|
1.74
|
3.20
|
8.390
|
13.870
|
2.65
|
2.810
|
2.640
|
2.960
|
5.480
|
1.500
|
2.63
|
1.040
|
0.420
|
0.020
|
0.960
|
56.230
|
6.110
|
2.78
|
12.80
|
22.38
|
257.00
|
109.000
|
212.00
|
207
|
352
|
2.90
|
59.32
|
3.080
|
10.480
|
4.350
|
2.300
|
35.160
|
31.280
|
16.68
|
40.19
|
1.22
|
37.18
|
3646.00
|
|
26
|
10
|
3
|
43
|
younger
|
Male
|
Low
|
3
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
156053
|
71752
|
45.98
|
78.38
|
35.43
|
27.12
|
78.57
|
21.43
|
0.24
|
0.60
|
58.56
|
5.80
|
18.33
|
17.31
|
12.67
|
72.96
|
0.53
|
94.06
|
0.49
|
5.11
|
0.28
|
22.79
|
27.47
|
0.81
|
5.53
|
0.01
|
0.29
|
0.19
|
0.00
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
27
|
10
|
5
|
43
|
younger
|
Male
|
Low
|
3
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
28.26
|
29.24
|
25.930
|
19.130
|
12.01
|
9.860
|
4.910
|
2.960
|
12.270
|
2.300
|
8.31
|
8.480
|
4.420
|
6.460
|
5.600
|
31.690
|
12.300
|
6.41
|
65.76
|
22.02
|
605.00
|
111.000
|
650.00
|
279
|
320
|
27.98
|
245.00
|
8.330
|
34.600
|
26.450
|
10.410
|
112.000
|
184.000
|
48.97
|
197.00
|
24.56
|
128.00
|
8387.00
|
|
28
|
10
|
8
|
43
|
younger
|
Male
|
Low
|
3
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
156053
|
71752
|
45.98
|
78.38
|
35.43
|
27.12
|
78.57
|
21.43
|
0.24
|
0.60
|
58.56
|
5.80
|
18.33
|
17.31
|
12.67
|
72.96
|
0.53
|
94.06
|
0.49
|
5.11
|
0.28
|
22.79
|
27.47
|
0.81
|
5.53
|
0.01
|
0.29
|
0.19
|
0.00
|
70.58
|
65.90
|
45.390
|
26.340
|
33.60
|
24.140
|
10.790
|
5.940
|
18.220
|
4.580
|
16.86
|
22.040
|
10.800
|
17.200
|
14.210
|
33.990
|
19.940
|
11.61
|
146.00
|
23.83
|
661.00
|
105.000
|
765.00
|
325
|
270
|
45.41
|
414.00
|
17.810
|
51.840
|
49.970
|
22.030
|
205.000
|
266.000
|
76.21
|
266.00
|
48.57
|
276.00
|
9997.00
|
|
29
|
13
|
0
|
61
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
411616
|
119210
|
28.96
|
90.82
|
73.63
|
5.88
|
74.30
|
25.70
|
2.80
|
6.46
|
57.94
|
19.20
|
18.72
|
4.13
|
19.10
|
15.42
|
15.30
|
53.51
|
13.78
|
25.19
|
0.21
|
47.23
|
53.77
|
5.75
|
5.92
|
22.63
|
3.46
|
2.55
|
0.74
|
74.33
|
630.00
|
1198.000
|
29.033
|
285.00
|
6.710
|
41.890
|
282.000
|
58.746
|
108.000
|
242.00
|
1363.000
|
17.372
|
74.166
|
4.089
|
381.000
|
11.334
|
76.55
|
183.00
|
145.00
|
703.00
|
339.000
|
938.00
|
642
|
424
|
191.00
|
439.00
|
51.380
|
409.000
|
169.000
|
31.768
|
254.000
|
3217.000
|
299.00
|
1084.00
|
546.00
|
877.00
|
6887.00
|
|
30
|
13
|
1
|
61
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
430509
|
79492
|
18.46
|
89.31
|
52.10
|
20.45
|
87.13
|
12.87
|
1.23
|
4.76
|
58.11
|
9.15
|
30.55
|
2.20
|
29.86
|
18.05
|
10.37
|
63.63
|
10.23
|
17.43
|
0.06
|
74.05
|
72.50
|
2.36
|
2.98
|
10.68
|
1.72
|
1.03
|
2.89
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
31
|
13
|
3
|
61
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
395713
|
119670
|
30.24
|
97.90
|
23.79
|
6.27
|
82.17
|
17.83
|
0.79
|
1.99
|
49.95
|
13.01
|
33.91
|
3.13
|
28.36
|
16.83
|
5.00
|
56.33
|
7.13
|
26.73
|
0.02
|
79.50
|
82.88
|
1.96
|
5.55
|
16.30
|
3.61
|
1.88
|
0.42
|
4.28
|
159.00
|
409.000
|
41.124
|
12.27
|
2.320
|
4.307
|
20.356
|
15.581
|
16.793
|
121.00
|
61.854
|
2.899
|
4.794
|
1.980
|
49.157
|
20.020
|
28.46
|
32.56
|
102.00
|
524.00
|
415.000
|
305.00
|
282
|
465
|
41.67
|
203.00
|
12.431
|
121.000
|
35.967
|
2.120
|
73.622
|
945.000
|
39.60
|
451.00
|
55.87
|
159.00
|
676.00
|
|
32
|
13
|
8
|
61
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
329840
|
73468
|
22.27
|
98.63
|
70.61
|
3.73
|
51.50
|
48.50
|
8.32
|
3.77
|
33.46
|
41.29
|
20.92
|
4.33
|
25.19
|
5.89
|
24.07
|
46.40
|
3.73
|
34.64
|
0.07
|
64.14
|
28.43
|
10.35
|
9.61
|
38.78
|
4.62
|
5.55
|
2.91
|
100.00
|
430.00
|
1063.000
|
57.719
|
245.00
|
135.000
|
21.182
|
84.771
|
41.826
|
160.000
|
229.00
|
580.000
|
22.030
|
72.412
|
10.670
|
229.000
|
25.806
|
54.08
|
223.00
|
143.00
|
966.00
|
310.000
|
777.00
|
1415
|
796
|
217.00
|
325.00
|
45.047
|
411.000
|
137.000
|
44.518
|
266.000
|
2406.000
|
193.00
|
908.00
|
321.00
|
732.00
|
7464.00
|
|
33
|
13
|
14
|
61
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
350294
|
88823
|
25.36
|
97.63
|
74.37
|
4.37
|
73.35
|
26.65
|
4.91
|
4.83
|
56.54
|
21.32
|
19.84
|
2.30
|
34.68
|
11.25
|
18.37
|
61.98
|
5.78
|
20.55
|
0.04
|
63.91
|
47.54
|
6.81
|
6.17
|
21.77
|
2.90
|
2.74
|
3.00
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
34
|
16
|
0
|
39
|
younger
|
Female
|
Low
|
3
|
Yes
|
No
|
BTT
|
HMII
|
Died post OHT
|
dead
|
52016
|
30920
|
59.44
|
95.77
|
55.57
|
24.62
|
58.73
|
41.27
|
2.14
|
0.97
|
53.01
|
5.05
|
5.45
|
36.50
|
9.39
|
81.29
|
2.88
|
81.48
|
5.65
|
9.02
|
0.48
|
97.75
|
71.83
|
0.67
|
22.89
|
0.34
|
1.78
|
0.49
|
NA
|
11.66
|
5.99
|
5.180
|
18.210
|
2.65
|
2.810
|
2.640
|
2.960
|
2.600
|
1.500
|
3.19
|
3.790
|
0.750
|
1.140
|
1.270
|
12.840
|
1.920
|
2.78
|
22.29
|
13.36
|
205.00
|
120.000
|
433.00
|
852
|
235
|
13.38
|
108.00
|
17.980
|
22.860
|
7.890
|
3.660
|
26.920
|
114.000
|
27.36
|
63.49
|
6.10
|
47.28
|
2960.00
|
|
35
|
16
|
1
|
39
|
younger
|
Female
|
Low
|
3
|
Yes
|
No
|
BTT
|
HMII
|
Died post OHT
|
dead
|
75516
|
48801
|
64.62
|
92.13
|
52.90
|
18.64
|
70.39
|
29.61
|
2.92
|
2.21
|
62.18
|
5.13
|
7.98
|
24.70
|
13.79
|
69.54
|
3.19
|
84.14
|
3.64
|
6.36
|
0.41
|
94.93
|
43.78
|
0.57
|
15.61
|
0.23
|
0.91
|
0.36
|
NA
|
6.69
|
4.54
|
3.850
|
13.310
|
2.65
|
2.810
|
2.640
|
2.960
|
15.360
|
1.500
|
2.89
|
2.390
|
0.640
|
1.550
|
1.060
|
51.270
|
3.890
|
2.78
|
23.91
|
29.12
|
139.00
|
53.210
|
184.00
|
503
|
192
|
13.38
|
162.00
|
30.710
|
25.630
|
7.270
|
3.380
|
58.260
|
135.000
|
10.50
|
52.34
|
4.60
|
111.00
|
1306.00
|
|
36
|
16
|
3
|
39
|
younger
|
Female
|
Low
|
3
|
Yes
|
No
|
BTT
|
HMII
|
Died post OHT
|
dead
|
250612
|
130454
|
52.05
|
95.75
|
60.05
|
3.29
|
46.04
|
53.96
|
1.34
|
3.89
|
33.08
|
32.47
|
8.29
|
26.15
|
3.56
|
34.61
|
0.09
|
76.71
|
0.39
|
13.20
|
0.28
|
39.79
|
14.38
|
2.26
|
1.56
|
10.45
|
2.89
|
3.04
|
0.08
|
22.58
|
5.49
|
6.580
|
15.690
|
2.77
|
2.810
|
2.640
|
2.960
|
19.820
|
1.500
|
3.96
|
4.710
|
1.750
|
5.060
|
1.270
|
242.000
|
7.410
|
6.23
|
43.70
|
45.47
|
205.00
|
139.000
|
201.00
|
614
|
498
|
27.61
|
259.00
|
37.910
|
41.540
|
13.790
|
4.520
|
90.330
|
187.000
|
20.67
|
91.18
|
20.95
|
94.90
|
1637.00
|
|
37
|
16
|
5
|
39
|
younger
|
Female
|
Low
|
3
|
Yes
|
No
|
BTT
|
HMII
|
Died post OHT
|
dead
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
36.87
|
8.59
|
9.500
|
14.150
|
5.49
|
4.340
|
2.640
|
2.960
|
3.860
|
1.500
|
4.92
|
8.120
|
2.050
|
5.620
|
1.480
|
49.360
|
5.860
|
3.77
|
51.10
|
19.90
|
214.00
|
142.000
|
261.00
|
1163
|
556
|
27.24
|
145.00
|
37.770
|
41.540
|
20.750
|
5.700
|
54.980
|
210.000
|
28.80
|
99.93
|
38.44
|
100.00
|
3060.00
|
|
38
|
16
|
8
|
39
|
younger
|
Female
|
Low
|
3
|
Yes
|
No
|
BTT
|
HMII
|
Died post OHT
|
dead
|
212478
|
120477
|
56.70
|
85.12
|
48.36
|
12.51
|
79.57
|
20.43
|
1.35
|
2.14
|
58.73
|
12.87
|
18.44
|
9.96
|
5.63
|
34.32
|
0.11
|
86.74
|
0.41
|
6.88
|
0.15
|
35.30
|
53.09
|
1.23
|
0.75
|
2.36
|
1.04
|
1.47
|
NA
|
39.75
|
7.52
|
10.260
|
14.990
|
6.70
|
4.900
|
2.640
|
3.060
|
5.960
|
1.500
|
5.57
|
11.870
|
2.670
|
6.610
|
1.480
|
49.000
|
5.860
|
3.86
|
55.20
|
17.87
|
278.00
|
105.000
|
428.00
|
1180
|
309
|
30.12
|
162.00
|
41.370
|
49.350
|
22.170
|
5.990
|
67.210
|
220.000
|
34.39
|
108.00
|
31.81
|
119.00
|
3873.00
|
|
39
|
17
|
0
|
70
|
older
|
Female
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
86135
|
70306
|
81.62
|
93.71
|
74.50
|
1.59
|
61.74
|
38.26
|
1.91
|
2.67
|
33.97
|
14.50
|
26.81
|
24.71
|
20.67
|
62.47
|
9.03
|
73.00
|
2.00
|
24.71
|
1.27
|
20.23
|
71.43
|
0.48
|
12.79
|
0.38
|
3.24
|
0.48
|
4.60
|
2.81
|
7.26
|
7.290
|
173.000
|
2.65
|
2.810
|
2.640
|
2.960
|
12.550
|
1.500
|
4.28
|
8.850
|
0.640
|
0.770
|
1.160
|
2.930
|
3.890
|
3.28
|
27.19
|
22.83
|
145.00
|
70.170
|
765.00
|
1478
|
482
|
9.57
|
94.83
|
94.860
|
103.000
|
8.520
|
3.660
|
18.060
|
120.000
|
19.71
|
40.19
|
28.19
|
51.59
|
1276.00
|
|
40
|
17
|
1
|
70
|
older
|
Female
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
81004
|
41334
|
51.03
|
94.06
|
53.64
|
2.99
|
61.70
|
38.30
|
3.10
|
2.75
|
39.07
|
13.34
|
22.12
|
25.47
|
12.58
|
63.11
|
15.99
|
78.92
|
2.93
|
17.38
|
3.35
|
23.24
|
71.88
|
0.52
|
11.70
|
0.09
|
1.29
|
0.52
|
9.83
|
7.64
|
4.08
|
4.170
|
41.980
|
2.65
|
2.810
|
2.640
|
2.960
|
133.000
|
1.500
|
2.63
|
7.760
|
0.420
|
1.770
|
0.910
|
98.210
|
8.740
|
4.54
|
15.89
|
77.14
|
211.00
|
64.900
|
374.00
|
1714
|
959
|
5.00
|
64.16
|
21.350
|
54.290
|
8.520
|
2.560
|
284.000
|
52.100
|
11.10
|
21.92
|
7.15
|
51.59
|
1301.00
|
|
41
|
17
|
3
|
70
|
older
|
Female
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
0.22
|
3.20
|
3.220
|
21.580
|
2.65
|
2.810
|
2.640
|
2.960
|
15.210
|
1.500
|
2.63
|
2.520
|
0.420
|
0.020
|
0.680
|
58.680
|
7.800
|
3.77
|
8.37
|
31.94
|
83.16
|
74.380
|
388.00
|
644
|
432
|
2.90
|
49.55
|
8.660
|
30.220
|
4.630
|
1.790
|
14.940
|
45.600
|
11.69
|
14.26
|
1.53
|
29.96
|
690.00
|
|
42
|
17
|
5
|
70
|
older
|
Female
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
90024
|
39434
|
43.80
|
95.32
|
68.83
|
5.62
|
71.59
|
28.41
|
0.85
|
1.66
|
35.23
|
13.02
|
35.80
|
15.96
|
22.94
|
52.37
|
5.85
|
76.42
|
1.14
|
21.83
|
0.62
|
14.54
|
48.57
|
0.38
|
4.69
|
0.00
|
0.80
|
0.38
|
0.62
|
0.58
|
3.63
|
3.220
|
25.010
|
2.65
|
2.810
|
2.640
|
2.960
|
23.480
|
1.500
|
2.63
|
2.390
|
0.420
|
0.100
|
0.860
|
31.820
|
7.670
|
11.61
|
15.89
|
41.91
|
454.00
|
91.330
|
506.00
|
670
|
421
|
3.21
|
54.44
|
14.370
|
37.430
|
6.660
|
2.300
|
33.500
|
58.260
|
15.08
|
19.42
|
6.10
|
41.52
|
1837.00
|
|
43
|
17
|
8
|
70
|
older
|
Female
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
37.61
|
21.91
|
44.071
|
23.633
|
39.20
|
9.532
|
6.428
|
5.102
|
32.860
|
7.062
|
12.93
|
20.414
|
2.167
|
3.138
|
5.978
|
41.851
|
8.190
|
4.95
|
63.21
|
39.70
|
328.00
|
175.000
|
323.00
|
808
|
540
|
34.88
|
91.67
|
13.604
|
48.125
|
30.231
|
5.864
|
59.949
|
466.000
|
81.74
|
150.00
|
4.51
|
195.00
|
9741.00
|
|
44
|
17
|
14
|
70
|
older
|
Female
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
106791
|
80532
|
75.41
|
88.82
|
79.92
|
1.57
|
62.32
|
37.68
|
1.70
|
4.02
|
28.04
|
22.86
|
34.11
|
15.00
|
23.92
|
39.41
|
15.03
|
61.61
|
3.66
|
34.55
|
1.97
|
20.36
|
73.33
|
0.80
|
8.57
|
0.27
|
1.79
|
0.98
|
0.71
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
45
|
18
|
0
|
63
|
older
|
Male
|
High
|
1
|
No
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
60.38
|
32.81
|
186.000
|
38.833
|
32.98
|
21.709
|
3.051
|
5.621
|
37.885
|
11.091
|
29.33
|
189.000
|
6.338
|
16.504
|
4.089
|
278.000
|
17.668
|
7.17
|
59.99
|
54.99
|
695.00
|
232.000
|
211.00
|
828
|
1145
|
50.86
|
107.00
|
10.251
|
111.000
|
31.722
|
7.153
|
120.000
|
533.000
|
28.75
|
322.00
|
2.34
|
224.00
|
3524.00
|
|
46
|
18
|
1
|
63
|
older
|
Male
|
High
|
1
|
No
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
63.95
|
40.14
|
249.000
|
28.453
|
32.98
|
21.709
|
3.357
|
4.711
|
28.562
|
11.091
|
38.39
|
220.000
|
6.089
|
13.032
|
4.089
|
124.000
|
15.114
|
5.01
|
59.99
|
41.74
|
638.00
|
289.000
|
303.00
|
509
|
713
|
59.63
|
121.00
|
9.867
|
123.000
|
56.352
|
7.153
|
82.196
|
685.000
|
46.72
|
384.00
|
14.39
|
229.00
|
5489.00
|
|
47
|
18
|
3
|
63
|
older
|
Male
|
High
|
1
|
No
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
366713
|
77282
|
21.07
|
98.61
|
66.55
|
12.44
|
93.65
|
6.35
|
0.53
|
0.60
|
62.22
|
4.68
|
32.38
|
0.72
|
19.94
|
9.89
|
28.23
|
83.18
|
0.51
|
14.38
|
0.30
|
94.72
|
54.39
|
2.07
|
11.33
|
2.86
|
3.40
|
1.48
|
3.58
|
65.71
|
24.75
|
198.000
|
26.329
|
40.68
|
18.837
|
4.631
|
4.711
|
20.178
|
9.696
|
29.66
|
185.000
|
5.841
|
11.411
|
4.293
|
71.642
|
12.166
|
3.92
|
74.20
|
35.60
|
1110.00
|
222.000
|
300.00
|
489
|
627
|
50.86
|
126.00
|
9.479
|
104.000
|
51.467
|
10.275
|
77.933
|
727.000
|
62.42
|
422.00
|
11.03
|
219.00
|
9557.42
|
|
48
|
18
|
5
|
63
|
older
|
Male
|
High
|
1
|
No
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
262251
|
55344
|
21.10
|
99.55
|
62.37
|
14.39
|
93.00
|
7.00
|
1.03
|
0.69
|
65.71
|
4.74
|
28.37
|
1.17
|
25.93
|
17.28
|
25.93
|
79.87
|
1.20
|
17.05
|
0.48
|
97.76
|
58.18
|
2.27
|
11.13
|
4.12
|
4.91
|
1.87
|
6.10
|
89.92
|
70.33
|
309.000
|
36.344
|
103.00
|
29.010
|
8.732
|
7.037
|
28.329
|
24.712
|
57.19
|
384.000
|
8.403
|
25.681
|
5.347
|
93.592
|
18.950
|
6.40
|
67.14
|
51.06
|
434.00
|
238.000
|
328.00
|
896
|
536
|
91.53
|
134.00
|
14.161
|
155.000
|
92.272
|
10.890
|
115.000
|
873.000
|
64.87
|
398.00
|
65.30
|
368.00
|
2247.00
|
|
49
|
18
|
8
|
63
|
older
|
Male
|
High
|
1
|
No
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
309193
|
61091
|
19.76
|
98.15
|
56.62
|
7.24
|
83.61
|
16.39
|
3.27
|
1.52
|
58.03
|
11.90
|
28.13
|
1.93
|
24.65
|
11.36
|
1.52
|
79.53
|
1.45
|
13.33
|
0.97
|
92.63
|
25.76
|
3.50
|
9.23
|
7.57
|
3.73
|
3.48
|
0.00
|
60.38
|
17.64
|
183.000
|
34.233
|
42.23
|
20.268
|
6.645
|
4.488
|
29.029
|
11.795
|
27.05
|
177.000
|
6.089
|
10.605
|
3.887
|
154.000
|
12.585
|
3.77
|
56.39
|
56.34
|
1534.00
|
165.000
|
446.00
|
487
|
478
|
53.19
|
121.00
|
10.759
|
85.242
|
37.382
|
13.310
|
79.359
|
700.000
|
104.00
|
490.00
|
12.72
|
151.00
|
9557.42
|
|
50
|
19
|
0
|
68
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
147997
|
54649
|
36.93
|
91.75
|
79.63
|
7.62
|
74.86
|
25.14
|
0.60
|
3.45
|
62.45
|
22.87
|
12.30
|
2.38
|
45.98
|
9.28
|
13.61
|
74.33
|
2.67
|
21.19
|
0.84
|
91.31
|
90.15
|
3.58
|
2.25
|
21.79
|
1.36
|
0.58
|
0.34
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
51
|
19
|
1
|
68
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
177687
|
56400
|
31.74
|
97.13
|
69.76
|
12.60
|
81.83
|
18.17
|
0.65
|
1.61
|
55.77
|
16.13
|
26.02
|
2.09
|
53.19
|
10.70
|
11.57
|
82.92
|
1.38
|
13.98
|
0.28
|
89.83
|
85.59
|
3.78
|
1.85
|
14.65
|
1.30
|
0.68
|
0.18
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
52
|
19
|
3
|
68
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
233155
|
67140
|
28.80
|
98.44
|
74.89
|
5.32
|
81.96
|
18.04
|
1.00
|
1.88
|
49.03
|
16.59
|
32.90
|
1.48
|
49.92
|
7.20
|
12.83
|
83.44
|
1.39
|
12.98
|
0.14
|
89.70
|
69.70
|
4.58
|
1.62
|
13.89
|
1.08
|
1.08
|
0.17
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
53
|
19
|
5
|
68
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
99257
|
29455
|
29.68
|
97.33
|
62.48
|
4.73
|
80.60
|
19.40
|
1.84
|
1.25
|
45.06
|
18.36
|
35.25
|
1.33
|
44.61
|
6.32
|
12.27
|
82.89
|
0.88
|
13.20
|
0.09
|
83.55
|
35.29
|
7.23
|
3.54
|
14.75
|
2.29
|
3.02
|
1.20
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
54
|
19
|
8
|
68
|
older
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Died
|
dead
|
76358
|
18702
|
24.49
|
97.32
|
29.48
|
11.10
|
86.29
|
13.71
|
2.43
|
0.50
|
37.92
|
12.13
|
48.32
|
1.63
|
46.45
|
11.70
|
11.35
|
83.96
|
0.20
|
10.50
|
0.06
|
57.82
|
50.00
|
9.95
|
29.60
|
10.20
|
0.64
|
9.36
|
0.80
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
55
|
21
|
0
|
46
|
younger
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
226762
|
25868
|
11.41
|
89.41
|
25.31
|
12.05
|
55.06
|
44.94
|
11.31
|
2.69
|
14.79
|
42.57
|
39.95
|
2.69
|
19.87
|
3.88
|
32.88
|
68.95
|
10.48
|
13.57
|
0.59
|
80.62
|
22.67
|
31.91
|
19.38
|
15.58
|
10.37
|
16.55
|
8.18
|
2.18
|
2.45
|
60.794
|
34.617
|
2.31
|
2.320
|
1.245
|
1.590
|
68.832
|
1.520
|
7.45
|
2.120
|
1.920
|
1.450
|
1.980
|
130.000
|
3.544
|
14.61
|
5.57
|
47.27
|
442.00
|
52.814
|
249.00
|
328
|
245
|
3.98
|
55.48
|
2.230
|
19.937
|
2.737
|
3.987
|
21.566
|
118.000
|
2.89
|
23.91
|
0.39
|
52.69
|
1293.00
|
|
56
|
21
|
3
|
46
|
younger
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
244049
|
39386
|
16.14
|
94.94
|
40.46
|
13.23
|
40.93
|
59.07
|
13.36
|
3.17
|
8.33
|
54.90
|
32.28
|
4.49
|
18.52
|
4.21
|
23.83
|
55.18
|
13.87
|
19.39
|
1.44
|
70.53
|
35.67
|
33.62
|
33.47
|
22.86
|
15.26
|
25.81
|
5.11
|
2.18
|
2.71
|
17.955
|
26.715
|
9.57
|
2.320
|
1.893
|
1.590
|
3.759
|
1.520
|
3.89
|
2.120
|
1.920
|
1.450
|
1.980
|
59.228
|
1.623
|
7.17
|
8.93
|
60.31
|
820.00
|
73.754
|
165.00
|
347
|
262
|
3.98
|
63.62
|
2.230
|
18.052
|
2.737
|
3.358
|
15.234
|
90.169
|
11.56
|
77.19
|
0.39
|
33.64
|
2726.00
|
|
57
|
21
|
5
|
46
|
younger
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
344736
|
250121
|
72.55
|
89.83
|
7.54
|
3.81
|
45.84
|
54.16
|
3.96
|
1.53
|
13.39
|
52.70
|
32.18
|
1.72
|
67.14
|
2.92
|
2.44
|
74.68
|
6.81
|
13.91
|
0.21
|
63.33
|
58.02
|
33.05
|
30.94
|
19.83
|
13.96
|
26.74
|
0.22
|
2.18
|
4.12
|
15.278
|
24.202
|
12.27
|
2.320
|
2.457
|
1.590
|
4.492
|
1.520
|
3.07
|
2.120
|
1.920
|
1.450
|
2.558
|
43.554
|
1.623
|
2.86
|
23.32
|
48.13
|
1082.00
|
71.954
|
125.00
|
260
|
251
|
5.90
|
77.95
|
2.230
|
18.052
|
7.234
|
7.153
|
27.925
|
153.000
|
29.97
|
118.00
|
0.39
|
52.69
|
4714.00
|
|
58
|
21
|
8
|
46
|
younger
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
216934
|
140093
|
64.58
|
96.37
|
4.78
|
7.22
|
22.49
|
77.51
|
13.49
|
0.64
|
7.22
|
67.61
|
15.17
|
10.00
|
35.88
|
7.82
|
17.22
|
51.28
|
39.40
|
6.56
|
1.33
|
62.59
|
58.06
|
66.67
|
64.59
|
53.00
|
50.26
|
63.78
|
4.97
|
2.18
|
2.45
|
24.797
|
23.042
|
8.26
|
2.320
|
1.625
|
1.590
|
3.060
|
1.520
|
4.03
|
2.120
|
1.920
|
1.450
|
1.980
|
44.329
|
0.827
|
2.13
|
5.57
|
54.35
|
370.00
|
84.966
|
89.52
|
348
|
255
|
3.98
|
46.41
|
2.230
|
9.990
|
2.520
|
2.120
|
9.035
|
55.097
|
2.89
|
23.91
|
0.39
|
27.20
|
1113.00
|
|
59
|
21
|
14
|
46
|
younger
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
215820
|
66785
|
30.94
|
92.54
|
17.20
|
6.01
|
25.88
|
74.12
|
9.15
|
1.45
|
3.09
|
71.72
|
22.44
|
2.74
|
65.43
|
3.42
|
0.04
|
69.38
|
15.93
|
8.85
|
0.74
|
50.58
|
24.07
|
52.78
|
48.88
|
32.28
|
28.19
|
44.04
|
0.04
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
60
|
21
|
21
|
46
|
younger
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
670692
|
523014
|
77.98
|
96.05
|
5.07
|
2.64
|
23.61
|
76.39
|
4.11
|
0.49
|
4.79
|
73.53
|
18.68
|
3.00
|
42.40
|
2.72
|
4.49
|
71.95
|
20.81
|
5.51
|
0.45
|
48.22
|
44.62
|
60.13
|
60.26
|
39.07
|
36.82
|
56.38
|
1.49
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
61
|
22
|
0
|
75
|
older
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
59.97
|
33.76
|
44.886
|
35.293
|
48.50
|
30.282
|
52.148
|
11.702
|
46.900
|
18.224
|
10.78
|
72.616
|
5.569
|
5.458
|
11.016
|
23.895
|
17.965
|
7.15
|
143.00
|
43.59
|
989.00
|
135.000
|
584.00
|
662
|
925
|
40.52
|
163.00
|
13.354
|
43.750
|
59.591
|
13.629
|
94.278
|
449.000
|
104.00
|
196.00
|
0.92
|
248.00
|
10443.75
|
|
62
|
22
|
1
|
75
|
older
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
6.42
|
13.61
|
24.600
|
30.292
|
4.17
|
3.956
|
10.044
|
3.491
|
27.540
|
3.964
|
5.69
|
3.190
|
0.940
|
1.805
|
2.360
|
69.905
|
14.225
|
3.22
|
64.43
|
56.18
|
263.00
|
47.791
|
495.00
|
624
|
1321
|
16.57
|
80.75
|
6.352
|
20.019
|
15.869
|
3.706
|
57.971
|
119.000
|
6.20
|
184.00
|
0.92
|
49.17
|
2297.00
|
|
63
|
22
|
3
|
75
|
older
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
121794
|
28129
|
23.10
|
97.05
|
52.79
|
16.42
|
70.08
|
29.92
|
0.29
|
0.54
|
50.71
|
21.46
|
22.96
|
4.86
|
34.18
|
12.51
|
23.49
|
39.78
|
0.31
|
55.18
|
0.35
|
96.01
|
16.67
|
1.74
|
5.27
|
23.38
|
2.95
|
1.00
|
0.10
|
2.77
|
13.90
|
16.630
|
13.668
|
9.16
|
2.970
|
3.372
|
2.078
|
10.277
|
6.347
|
2.66
|
4.260
|
1.165
|
1.090
|
2.360
|
36.910
|
7.340
|
2.59
|
60.77
|
27.10
|
698.00
|
100.000
|
514.00
|
323
|
606
|
25.83
|
54.27
|
4.276
|
23.867
|
33.318
|
4.024
|
31.548
|
264.000
|
61.66
|
124.00
|
0.92
|
69.60
|
10443.75
|
|
64
|
22
|
5
|
75
|
older
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
82157
|
17295
|
21.05
|
99.20
|
72.54
|
7.41
|
68.21
|
31.79
|
1.10
|
0.55
|
48.47
|
22.90
|
23.60
|
5.04
|
31.90
|
13.57
|
18.10
|
37.84
|
0.47
|
56.73
|
0.35
|
92.37
|
14.29
|
2.05
|
7.79
|
26.20
|
4.72
|
1.42
|
1.02
|
17.15
|
11.58
|
21.356
|
25.652
|
9.57
|
5.509
|
5.963
|
3.002
|
17.410
|
6.315
|
3.89
|
23.573
|
2.504
|
1.494
|
5.132
|
87.134
|
12.166
|
2.86
|
56.39
|
33.82
|
845.00
|
150.000
|
484.00
|
556
|
814
|
19.17
|
130.00
|
6.685
|
27.906
|
20.483
|
10.890
|
40.533
|
185.000
|
70.35
|
99.39
|
2.34
|
118.00
|
7899.00
|
|
65
|
22
|
8
|
75
|
older
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
154810
|
27067
|
17.48
|
98.04
|
72.18
|
5.03
|
74.91
|
25.09
|
0.90
|
1.65
|
58.05
|
14.76
|
20.82
|
6.37
|
23.43
|
25.71
|
22.57
|
44.94
|
0.60
|
49.36
|
0.71
|
86.59
|
22.73
|
3.30
|
7.64
|
20.15
|
4.87
|
1.72
|
0.00
|
10.19
|
18.30
|
30.677
|
25.655
|
16.47
|
9.100
|
6.693
|
4.896
|
29.159
|
3.022
|
8.07
|
3.688
|
1.295
|
1.557
|
8.079
|
68.056
|
13.360
|
5.90
|
58.29
|
31.79
|
671.00
|
47.791
|
696.00
|
506
|
704
|
18.84
|
102.00
|
12.748
|
17.993
|
11.877
|
5.864
|
44.162
|
198.000
|
49.71
|
115.00
|
1.39
|
114.00
|
10443.75
|
|
66
|
22
|
21
|
75
|
older
|
Male
|
High
|
2
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
197936
|
15446
|
7.80
|
95.86
|
50.35
|
5.44
|
79.13
|
20.87
|
3.98
|
3.11
|
52.30
|
15.90
|
29.81
|
1.99
|
20.23
|
5.78
|
24.86
|
40.62
|
1.12
|
50.06
|
1.89
|
62.36
|
8.00
|
7.20
|
9.94
|
13.17
|
3.60
|
5.09
|
1.55
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
67
|
23
|
0
|
30
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
114586
|
35996
|
31.41
|
100.00
|
59.03
|
11.31
|
75.87
|
24.13
|
1.52
|
7.69
|
69.83
|
11.67
|
10.20
|
8.30
|
27.80
|
29.94
|
2.04
|
84.64
|
0.64
|
10.54
|
0.61
|
91.57
|
61.34
|
4.99
|
7.15
|
11.57
|
5.92
|
2.53
|
1.92
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
68
|
23
|
1
|
30
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
13.27
|
4.09
|
22.842
|
12.996
|
2.80
|
2.970
|
1.098
|
0.346
|
6.097
|
2.290
|
3.48
|
3.190
|
0.940
|
0.850
|
2.360
|
103.000
|
4.849
|
4.64
|
2.91
|
28.25
|
276.00
|
25.145
|
449.00
|
274
|
442
|
7.15
|
31.49
|
3.050
|
10.241
|
2.290
|
1.036
|
12.701
|
13.318
|
2.92
|
110.00
|
0.92
|
39.59
|
1621.00
|
|
69
|
23
|
3
|
30
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
349054
|
129419
|
37.08
|
95.25
|
62.35
|
8.81
|
79.64
|
20.36
|
2.72
|
4.45
|
57.70
|
13.93
|
25.89
|
2.48
|
57.14
|
13.49
|
8.69
|
74.29
|
3.76
|
12.35
|
1.41
|
85.87
|
62.53
|
3.41
|
5.43
|
7.67
|
1.40
|
1.92
|
1.06
|
72.99
|
13.61
|
25.476
|
15.689
|
9.16
|
4.312
|
3.544
|
2.168
|
12.912
|
2.432
|
6.98
|
3.190
|
1.430
|
0.850
|
5.769
|
30.560
|
4.849
|
4.20
|
59.53
|
23.70
|
268.00
|
56.470
|
507.00
|
350
|
496
|
15.38
|
108.00
|
3.050
|
23.400
|
13.860
|
7.400
|
61.926
|
158.000
|
3.85
|
123.00
|
0.92
|
108.00
|
2374.00
|
|
70
|
23
|
5
|
30
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
447309
|
176789
|
39.52
|
93.00
|
53.57
|
9.32
|
80.92
|
19.08
|
2.16
|
5.73
|
56.72
|
12.51
|
28.43
|
2.34
|
47.68
|
12.19
|
11.00
|
73.80
|
4.44
|
12.53
|
2.57
|
83.88
|
49.09
|
5.24
|
6.82
|
8.32
|
2.18
|
2.28
|
1.72
|
75.52
|
39.53
|
49.720
|
16.363
|
80.35
|
13.585
|
14.246
|
8.044
|
28.002
|
22.225
|
15.11
|
23.132
|
3.869
|
4.279
|
13.928
|
30.947
|
13.071
|
8.12
|
149.00
|
16.40
|
384.00
|
120.000
|
681.00
|
419
|
400
|
41.84
|
179.00
|
5.172
|
46.471
|
46.582
|
14.665
|
126.000
|
364.000
|
36.57
|
89.46
|
22.99
|
224.00
|
4716.00
|
|
71
|
23
|
8
|
30
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
558290
|
301468
|
54.00
|
95.62
|
47.73
|
7.04
|
79.13
|
20.87
|
3.43
|
7.49
|
53.19
|
13.48
|
30.32
|
3.01
|
36.36
|
14.54
|
12.10
|
70.55
|
5.15
|
11.89
|
3.51
|
79.79
|
52.89
|
6.98
|
8.50
|
7.82
|
1.92
|
3.09
|
1.96
|
55.93
|
9.15
|
32.389
|
17.862
|
2.80
|
2.970
|
3.716
|
1.989
|
10.711
|
2.290
|
7.10
|
NA
|
NA
|
12.466
|
2.360
|
17.125
|
3.019
|
4.20
|
57.05
|
18.04
|
905.00
|
265.000
|
855.00
|
393
|
618
|
22.99
|
71.07
|
3.050
|
22.929
|
32.290
|
4.131
|
50.068
|
170.000
|
NA
|
97.14
|
17.70
|
80.29
|
10443.75
|
|
72
|
23
|
14
|
30
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
479402
|
362845
|
75.69
|
97.95
|
44.30
|
6.30
|
76.53
|
23.47
|
3.90
|
11.10
|
34.99
|
12.04
|
50.31
|
2.66
|
21.93
|
14.88
|
10.05
|
70.21
|
4.66
|
7.31
|
7.73
|
49.96
|
29.38
|
13.44
|
17.37
|
5.64
|
3.01
|
6.95
|
2.28
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
73
|
23
|
21
|
30
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
334942
|
191418
|
57.15
|
93.28
|
70.35
|
4.04
|
70.89
|
29.11
|
6.20
|
17.70
|
56.45
|
19.57
|
20.44
|
3.53
|
38.91
|
14.64
|
10.35
|
55.11
|
6.61
|
14.34
|
8.70
|
80.96
|
58.92
|
7.58
|
7.96
|
10.11
|
2.08
|
2.08
|
2.48
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
74
|
24
|
0
|
67
|
older
|
Male
|
High
|
2
|
Yes
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
129980
|
41600
|
32.00
|
91.40
|
39.03
|
2.85
|
49.63
|
50.37
|
7.02
|
11.55
|
28.37
|
29.11
|
20.79
|
21.72
|
19.43
|
28.34
|
9.80
|
69.59
|
4.90
|
20.33
|
6.13
|
31.15
|
33.60
|
20.15
|
22.27
|
0.28
|
4.25
|
16.54
|
2.09
|
33.99
|
28.59
|
16.040
|
25.430
|
12.01
|
7.920
|
6.660
|
3.530
|
19.960
|
3.020
|
7.39
|
10.910
|
3.870
|
5.620
|
7.350
|
29.050
|
11.190
|
6.77
|
80.92
|
26.34
|
485.00
|
156.000
|
684.00
|
574
|
531
|
28.71
|
233.00
|
9.210
|
37.430
|
28.250
|
15.220
|
112.000
|
158.000
|
41.01
|
59.87
|
50.92
|
139.00
|
4188.00
|
|
75
|
24
|
1
|
67
|
older
|
Male
|
High
|
2
|
Yes
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
59478
|
20182
|
33.93
|
89.07
|
44.50
|
10.08
|
60.93
|
39.07
|
2.10
|
2.70
|
42.88
|
13.69
|
17.66
|
25.77
|
13.06
|
46.12
|
3.13
|
81.35
|
1.16
|
16.11
|
0.83
|
37.58
|
6.12
|
5.52
|
11.64
|
0.06
|
1.49
|
2.76
|
4.07
|
4.02
|
3.20
|
2.320
|
19.970
|
2.65
|
2.810
|
2.640
|
2.960
|
405.000
|
1.500
|
2.63
|
2.130
|
0.460
|
0.450
|
0.860
|
99.660
|
13.000
|
2.78
|
12.80
|
206.00
|
266.00
|
84.610
|
329.00
|
197
|
841
|
3.21
|
39.72
|
8.990
|
27.180
|
6.360
|
2.830
|
565.000
|
23.210
|
11.10
|
10.23
|
1.22
|
38.63
|
1588.00
|
|
76
|
24
|
3
|
67
|
older
|
Male
|
High
|
2
|
Yes
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
6.69
|
9.68
|
5.520
|
72.480
|
2.65
|
2.810
|
2.640
|
2.960
|
12.830
|
1.500
|
3.81
|
3.490
|
3.700
|
1.140
|
1.870
|
30.080
|
8.600
|
3.57
|
26.36
|
120.00
|
339.00
|
166.000
|
633.00
|
484
|
808
|
12.17
|
90.21
|
79.330
|
79.230
|
12.440
|
4.520
|
64.780
|
75.100
|
48.83
|
38.04
|
18.56
|
55.88
|
3892.00
|
|
77
|
24
|
5
|
67
|
older
|
Male
|
High
|
2
|
Yes
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
26646
|
9754
|
36.61
|
98.69
|
58.32
|
7.57
|
64.88
|
35.12
|
2.06
|
0.55
|
46.50
|
12.62
|
17.70
|
23.18
|
15.07
|
53.31
|
12.50
|
83.40
|
1.10
|
15.64
|
1.76
|
28.12
|
0.00
|
7.54
|
16.46
|
0.55
|
1.92
|
6.04
|
13.00
|
0.58
|
3.20
|
3.220
|
34.140
|
2.65
|
2.810
|
2.640
|
2.960
|
39.370
|
1.500
|
2.63
|
2.930
|
0.420
|
0.020
|
0.540
|
66.160
|
8.470
|
3.38
|
5.65
|
51.46
|
66.05
|
106.000
|
497.00
|
1069
|
1138
|
2.90
|
29.91
|
6.510
|
29.470
|
5.480
|
1.550
|
51.690
|
2.870
|
3.21
|
8.86
|
43.82
|
41.52
|
535.00
|
|
78
|
24
|
8
|
67
|
older
|
Male
|
High
|
2
|
Yes
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
73641
|
21944
|
29.80
|
96.79
|
48.91
|
4.47
|
62.74
|
37.26
|
2.84
|
3.16
|
37.47
|
17.79
|
24.95
|
19.79
|
19.46
|
38.11
|
9.46
|
79.79
|
1.89
|
13.58
|
1.24
|
27.05
|
20.00
|
14.11
|
13.37
|
0.21
|
2.74
|
10.53
|
3.31
|
2.44
|
4.08
|
4.340
|
49.370
|
2.65
|
2.810
|
2.640
|
2.960
|
25.260
|
1.500
|
2.63
|
6.360
|
0.420
|
0.100
|
0.770
|
74.530
|
10.920
|
5.20
|
8.37
|
91.97
|
73.49
|
135.000
|
493.00
|
1207
|
1273
|
2.90
|
49.55
|
17.980
|
28.710
|
7.270
|
2.560
|
35.160
|
14.190
|
3.93
|
8.86
|
52.09
|
35.74
|
551.00
|
|
79
|
25
|
0
|
68
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
44004
|
20612
|
46.84
|
43.65
|
15.61
|
21.54
|
49.64
|
50.36
|
10.37
|
0.57
|
15.94
|
45.15
|
33.18
|
5.73
|
24.69
|
5.68
|
20.25
|
44.58
|
1.55
|
36.17
|
0.88
|
67.23
|
27.27
|
32.35
|
15.48
|
20.02
|
4.49
|
10.94
|
2.76
|
71.72
|
47.35
|
26.349
|
37.381
|
158.00
|
33.334
|
10.660
|
8.044
|
35.402
|
46.417
|
6.87
|
NA
|
10.690
|
8.792
|
2.398
|
99.342
|
9.045
|
6.48
|
97.08
|
46.45
|
297.00
|
181.000
|
191.00
|
567
|
222
|
49.74
|
80.75
|
6.059
|
37.993
|
25.593
|
20.817
|
174.000
|
399.000
|
44.78
|
92.77
|
41.52
|
NA
|
4980.00
|
|
80
|
25
|
1
|
68
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
99731
|
23424
|
23.49
|
91.81
|
41.33
|
10.89
|
35.24
|
64.76
|
11.83
|
1.62
|
18.71
|
59.21
|
16.19
|
5.89
|
28.16
|
5.89
|
18.53
|
39.98
|
4.66
|
42.16
|
2.33
|
84.07
|
2.63
|
22.55
|
15.21
|
40.28
|
6.07
|
9.70
|
3.96
|
29.43
|
17.11
|
20.632
|
25.281
|
48.50
|
22.252
|
5.900
|
4.692
|
222.000
|
11.168
|
3.91
|
72.616
|
4.422
|
2.060
|
2.360
|
191.000
|
11.918
|
7.37
|
68.02
|
138.00
|
324.00
|
136.000
|
149.00
|
347
|
223
|
30.17
|
80.75
|
4.036
|
30.061
|
12.370
|
7.619
|
280.000
|
331.000
|
21.43
|
70.73
|
2.56
|
274.00
|
3581.00
|
|
81
|
25
|
3
|
68
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
74.26
|
46.69
|
17.521
|
32.607
|
125.00
|
34.355
|
9.340
|
7.512
|
18.328
|
13.879
|
4.56
|
190.000
|
13.031
|
14.904
|
2.360
|
35.125
|
11.629
|
8.85
|
37.42
|
35.14
|
218.00
|
222.000
|
173.00
|
1649
|
290
|
71.92
|
85.48
|
3.557
|
52.272
|
44.557
|
15.485
|
186.000
|
514.000
|
30.19
|
168.00
|
48.69
|
743.00
|
1283.00
|
|
82
|
25
|
5
|
68
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
63.06
|
27.96
|
35.932
|
31.732
|
44.55
|
16.008
|
3.051
|
5.621
|
18.791
|
10.391
|
5.03
|
152.000
|
11.673
|
14.663
|
1.980
|
35.584
|
10.919
|
6.56
|
45.46
|
42.92
|
420.00
|
180.000
|
216.00
|
2058
|
291
|
95.02
|
121.00
|
5.314
|
63.342
|
43.034
|
23.444
|
164.000
|
411.000
|
28.75
|
257.00
|
28.67
|
330.00
|
1677.00
|
|
83
|
25
|
8
|
68
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
129637
|
50001
|
38.57
|
90.65
|
44.41
|
6.05
|
30.66
|
69.34
|
17.12
|
4.05
|
10.62
|
66.50
|
19.60
|
3.28
|
26.41
|
3.46
|
13.37
|
39.74
|
7.15
|
39.49
|
11.91
|
71.97
|
2.70
|
32.48
|
33.14
|
43.91
|
7.81
|
22.70
|
3.82
|
40.52
|
23.75
|
22.842
|
21.835
|
74.36
|
13.123
|
5.021
|
5.931
|
27.077
|
9.272
|
4.67
|
134.000
|
12.603
|
9.710
|
2.360
|
53.765
|
8.759
|
6.48
|
60.77
|
35.38
|
426.00
|
223.000
|
224.00
|
1195
|
211
|
57.75
|
93.20
|
3.857
|
32.945
|
29.201
|
15.485
|
185.000
|
523.000
|
35.17
|
121.00
|
27.51
|
602.00
|
4088.00
|
|
84
|
25
|
14
|
68
|
older
|
Male
|
High
|
2
|
No
|
No
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
134368
|
46363
|
34.50
|
88.32
|
34.25
|
4.63
|
32.47
|
67.53
|
12.86
|
8.38
|
8.91
|
64.89
|
22.88
|
3.32
|
24.78
|
3.89
|
13.58
|
36.16
|
6.01
|
40.33
|
13.77
|
72.11
|
1.89
|
29.89
|
26.36
|
42.80
|
6.17
|
15.97
|
3.29
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
85
|
27
|
0
|
64
|
older
|
Male
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
59881
|
8971
|
14.98
|
97.40
|
50.06
|
9.57
|
75.84
|
24.16
|
3.59
|
8.13
|
64.83
|
13.40
|
15.67
|
6.10
|
19.31
|
18.81
|
16.83
|
76.67
|
6.10
|
6.82
|
2.00
|
88.16
|
47.06
|
10.53
|
11.24
|
10.41
|
9.93
|
6.94
|
11.93
|
16.38
|
67.35
|
180.000
|
62.930
|
127.00
|
2.970
|
36.468
|
4.794
|
25.690
|
5.645
|
46.84
|
139.000
|
1.295
|
17.624
|
2.360
|
148.000
|
9.904
|
9.46
|
143.00
|
64.82
|
261.00
|
507.000
|
809.00
|
891
|
476
|
76.81
|
136.00
|
18.740
|
113.000
|
98.896
|
20.817
|
358.000
|
925.000
|
91.47
|
168.00
|
123.00
|
653.00
|
761.00
|
|
86
|
27
|
1
|
64
|
older
|
Male
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
60193
|
23874
|
39.66
|
96.72
|
58.83
|
16.24
|
80.37
|
19.63
|
1.87
|
3.31
|
68.58
|
10.62
|
14.72
|
6.08
|
21.33
|
22.83
|
3.80
|
80.61
|
3.63
|
8.03
|
0.33
|
94.16
|
57.26
|
2.96
|
5.01
|
10.19
|
4.72
|
1.41
|
1.24
|
3.57
|
32.49
|
145.000
|
59.668
|
35.43
|
2.970
|
12.151
|
4.287
|
29.390
|
5.645
|
54.69
|
26.852
|
0.940
|
6.660
|
2.360
|
142.000
|
12.494
|
6.13
|
91.76
|
118.00
|
294.00
|
354.000
|
659.00
|
811
|
759
|
35.98
|
83.92
|
12.544
|
90.832
|
44.557
|
39.375
|
223.000
|
830.000
|
67.87
|
147.00
|
58.83
|
260.00
|
528.00
|
|
87
|
27
|
3
|
64
|
older
|
Male
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
8.66
|
39.21
|
135.000
|
67.453
|
61.20
|
3.273
|
20.290
|
5.826
|
23.842
|
5.819
|
45.26
|
64.203
|
1.569
|
9.863
|
3.090
|
66.315
|
10.766
|
5.31
|
155.00
|
68.00
|
355.00
|
420.000
|
945.00
|
1063
|
603
|
56.22
|
136.00
|
16.032
|
94.647
|
49.105
|
19.468
|
230.000
|
804.000
|
72.71
|
206.00
|
83.10
|
435.00
|
814.00
|
|
88
|
27
|
5
|
64
|
older
|
Male
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
135335
|
27834
|
20.57
|
97.35
|
44.75
|
5.61
|
63.22
|
36.78
|
8.49
|
17.63
|
39.01
|
23.16
|
30.72
|
7.11
|
17.53
|
10.38
|
12.16
|
42.70
|
4.93
|
19.28
|
4.68
|
67.37
|
4.10
|
26.64
|
17.76
|
19.21
|
14.54
|
14.47
|
10.60
|
2.18
|
38.51
|
215.000
|
76.341
|
16.50
|
2.320
|
10.862
|
2.224
|
8.932
|
1.520
|
53.96
|
36.506
|
1.920
|
7.437
|
1.980
|
105.000
|
8.874
|
7.63
|
77.70
|
68.16
|
389.00
|
204.000
|
723.00
|
1321
|
487
|
50.26
|
160.00
|
12.674
|
125.000
|
27.485
|
45.764
|
177.000
|
710.000
|
55.82
|
360.00
|
90.56
|
239.00
|
351.00
|
|
89
|
27
|
8
|
64
|
older
|
Male
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
247113
|
62042
|
25.11
|
96.41
|
43.93
|
14.82
|
78.42
|
21.58
|
2.52
|
5.24
|
65.35
|
12.22
|
17.53
|
4.90
|
20.39
|
17.20
|
2.93
|
77.86
|
2.11
|
8.78
|
2.94
|
84.64
|
9.70
|
10.64
|
13.93
|
9.90
|
11.59
|
8.48
|
3.51
|
22.57
|
29.97
|
91.301
|
58.481
|
24.03
|
7.004
|
8.899
|
5.515
|
27.077
|
7.972
|
25.93
|
37.523
|
2.650
|
3.138
|
5.142
|
70.641
|
12.783
|
7.59
|
94.97
|
56.14
|
551.00
|
288.000
|
717.00
|
1003
|
373
|
39.51
|
130.00
|
9.800
|
75.273
|
27.655
|
7.838
|
145.000
|
524.000
|
52.18
|
137.00
|
41.89
|
251.00
|
338.00
|
|
90
|
27
|
14
|
64
|
older
|
Male
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
142053
|
56983
|
40.11
|
93.01
|
62.72
|
12.87
|
85.10
|
14.90
|
0.69
|
1.64
|
68.02
|
8.40
|
21.03
|
2.55
|
17.03
|
13.68
|
1.08
|
83.33
|
0.37
|
7.38
|
0.26
|
79.00
|
16.07
|
3.01
|
5.85
|
5.16
|
5.24
|
1.77
|
0.70
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
91
|
27
|
21
|
64
|
older
|
Male
|
High
|
2
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
60384
|
17029
|
28.20
|
93.65
|
40.96
|
21.36
|
83.80
|
16.20
|
1.47
|
2.32
|
63.52
|
9.69
|
23.80
|
2.99
|
23.55
|
15.58
|
0.91
|
78.16
|
1.09
|
8.13
|
1.00
|
83.65
|
17.72
|
4.70
|
8.42
|
5.99
|
7.22
|
3.76
|
1.56
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
92
|
28
|
0
|
25
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
47645
|
37377
|
78.45
|
94.61
|
2.47
|
9.41
|
78.56
|
17.02
|
1.71
|
4.63
|
34.94
|
16.09
|
44.77
|
4.21
|
4.35
|
28.99
|
59.42
|
67.26
|
3.10
|
26.22
|
7.50
|
72.82
|
53.90
|
13.50
|
28.20
|
3.04
|
7.70
|
7.67
|
0.96
|
9.61
|
35.14
|
22.350
|
20.460
|
3.79
|
22.660
|
3.480
|
3.530
|
9.020
|
3.210
|
9.75
|
7.060
|
1.210
|
1.550
|
0.770
|
20.320
|
2.980
|
2.78
|
20.67
|
13.18
|
290.00
|
37.840
|
754.00
|
653
|
382
|
20.62
|
170.00
|
9.210
|
42.210
|
9.160
|
3.660
|
54.980
|
131.000
|
33.28
|
78.76
|
74.92
|
178.00
|
1807.00
|
|
93
|
28
|
1
|
25
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
87452
|
43025
|
49.20
|
91.54
|
1.98
|
26.71
|
92.06
|
6.76
|
0.77
|
4.67
|
47.21
|
4.70
|
45.17
|
2.92
|
6.06
|
18.18
|
60.61
|
81.01
|
3.95
|
14.10
|
12.04
|
85.97
|
79.84
|
5.82
|
14.15
|
1.11
|
4.77
|
2.84
|
0.00
|
12.71
|
13.67
|
11.390
|
16.950
|
2.77
|
3.020
|
2.690
|
2.960
|
29.730
|
1.790
|
5.89
|
3.490
|
1.610
|
2.220
|
2.640
|
103.000
|
6.370
|
5.67
|
25.55
|
37.67
|
369.00
|
23.230
|
830.00
|
341
|
373
|
18.73
|
111.00
|
6.740
|
23.260
|
13.120
|
5.700
|
76.070
|
128.000
|
32.15
|
77.14
|
17.37
|
97.61
|
3031.00
|
|
94
|
28
|
3
|
25
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
124056
|
80873
|
65.19
|
95.41
|
0.37
|
14.36
|
90.47
|
5.98
|
0.39
|
0.60
|
41.84
|
4.26
|
51.08
|
2.81
|
18.82
|
35.29
|
43.53
|
86.97
|
0.10
|
11.32
|
1.10
|
75.49
|
12.12
|
3.80
|
14.94
|
0.24
|
0.88
|
3.25
|
0.00
|
37.44
|
26.01
|
28.120
|
25.360
|
9.28
|
13.970
|
5.470
|
5.150
|
38.770
|
3.780
|
11.03
|
16.650
|
3.350
|
5.760
|
5.140
|
32.780
|
7.800
|
5.95
|
60.09
|
24.86
|
338.00
|
39.760
|
682.00
|
2208
|
349
|
27.24
|
174.00
|
11.700
|
30.960
|
38.010
|
10.120
|
76.070
|
213.000
|
35.85
|
86.63
|
43.82
|
185.00
|
2088.00
|
|
95
|
28
|
5
|
25
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
27.69
|
16.65
|
26.730
|
24.380
|
9.95
|
7.920
|
2.820
|
4.000
|
58.110
|
1.790
|
8.23
|
7.760
|
1.750
|
3.200
|
3.390
|
44.050
|
4.860
|
3.77
|
51.92
|
25.90
|
506.00
|
38.490
|
451.00
|
1325
|
306
|
19.69
|
141.00
|
6.280
|
18.330
|
27.170
|
7.470
|
68.020
|
184.000
|
35.13
|
89.68
|
25.77
|
160.00
|
2691.00
|
|
96
|
28
|
8
|
25
|
younger
|
Female
|
Low
|
3
|
No
|
Yes
|
BTT
|
HMII
|
Alive s/p OHT
|
alive
|
87840
|
57990
|
66.02
|
95.60
|
0.11
|
15.80
|
89.00
|
9.49
|
1.56
|
5.02
|
45.89
|
7.18
|
43.54
|
3.39
|
6.10
|
19.51
|
56.71
|
84.23
|
3.14
|
9.95
|
10.70
|
72.13
|
52.73
|
7.06
|
17.53
|
0.74
|
3.13
|
5.13
|
0.13
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
97
|
30
|
0
|
49
|
younger
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
196315
|
122053
|
62.17
|
95.37
|
60.66
|
22.66
|
91.10
|
8.90
|
0.45
|
4.95
|
85.57
|
6.30
|
5.42
|
2.71
|
13.13
|
28.32
|
20.05
|
86.32
|
2.45
|
5.42
|
0.96
|
98.68
|
94.19
|
2.50
|
2.96
|
4.63
|
1.24
|
0.33
|
0.89
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
98
|
30
|
1
|
49
|
younger
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
91909
|
37622
|
40.93
|
96.10
|
43.22
|
38.85
|
95.48
|
4.52
|
0.14
|
2.19
|
85.07
|
3.09
|
10.33
|
1.51
|
21.03
|
27.23
|
9.08
|
88.84
|
1.13
|
3.91
|
0.23
|
98.77
|
88.27
|
1.16
|
1.16
|
2.34
|
0.38
|
0.21
|
0.45
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
99
|
30
|
5
|
49
|
younger
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
153762
|
86281
|
56.11
|
95.83
|
65.54
|
24.24
|
91.12
|
8.88
|
0.65
|
2.84
|
81.43
|
6.30
|
9.62
|
2.65
|
21.14
|
28.73
|
15.89
|
83.00
|
1.97
|
6.74
|
0.36
|
98.22
|
93.16
|
3.20
|
2.29
|
5.47
|
1.11
|
0.77
|
1.56
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
100
|
30
|
8
|
49
|
younger
|
Male
|
Low
|
3
|
No
|
NA
|
DT
|
HMII
|
Alive
|
alive
|
82406
|
47485
|
57.62
|
92.71
|
65.75
|
17.46
|
91.79
|
8.21
|
1.08
|
1.99
|
76.35
|
5.70
|
15.41
|
2.54
|
20.56
|
26.95
|
11.99
|
78.67
|
1.35
|
7.97
|
0.28
|
97.55
|
85.62
|
2.65
|
2.56
|
5.19
|
1.18
|
0.86
|
1.79
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
|
101
|
32
|
0
|
72
|
older
|
Male
|
Low
|
4
|
Yes
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
2.77
|
2.98
|
33.241
|
14.342
|
3.42
|
2.970
|
0.420
|
0.853
|
3.452
|
2.290
|
13.82
|
3.190
|
0.940
|
0.850
|
2.360
|
50.340
|
2.770
|
5.07
|
17.40
|
64.31
|
653.00
|
26.894
|
241.00
|
316
|
496
|
12.21
|
15.96
|
3.050
|
12.001
|
8.034
|
2.282
|
17.749
|
119.000
|
3.85
|
236.00
|
0.92
|
44.32
|
1793.00
|
|
102
|
32
|
1
|
72
|
older
|
Male
|
Low
|
4
|
Yes
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
2.77
|
24.67
|
100.000
|
10.761
|
20.24
|
2.970
|
8.281
|
0.853
|
136.000
|
3.964
|
19.25
|
3.688
|
0.940
|
1.090
|
2.360
|
130.000
|
11.629
|
6.13
|
45.48
|
139.00
|
541.00
|
88.075
|
437.00
|
264
|
768
|
20.97
|
77.56
|
5.231
|
40.568
|
66.481
|
1.717
|
408.000
|
245.000
|
55.44
|
141.00
|
16.95
|
74.91
|
10443.75
|
|
103
|
32
|
3
|
72
|
older
|
Male
|
Low
|
4
|
Yes
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
424375
|
21971
|
5.18
|
71.78
|
56.98
|
18.53
|
79.84
|
20.16
|
3.08
|
0.51
|
57.91
|
14.07
|
24.06
|
3.97
|
31.74
|
15.95
|
13.65
|
57.94
|
0.65
|
28.51
|
0.17
|
93.57
|
53.33
|
2.87
|
9.69
|
15.61
|
3.87
|
2.16
|
3.99
|
2.18
|
6.65
|
125.000
|
14.770
|
4.61
|
2.320
|
14.644
|
1.590
|
22.499
|
1.520
|
18.98
|
2.120
|
1.920
|
1.450
|
1.980
|
72.656
|
11.749
|
1.99
|
23.32
|
48.13
|
195.00
|
286.000
|
323.00
|
579
|
874
|
10.05
|
63.62
|
2.448
|
45.479
|
16.356
|
0.944
|
52.863
|
60.307
|
4.34
|
61.08
|
0.39
|
52.69
|
813.00
|
|
104
|
32
|
5
|
72
|
older
|
Male
|
Low
|
4
|
Yes
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
NA
|
2.77
|
10.24
|
45.698
|
19.436
|
2.80
|
2.970
|
13.723
|
0.458
|
31.010
|
2.290
|
9.91
|
3.190
|
0.940
|
0.850
|
2.360
|
109.000
|
9.904
|
3.42
|
31.87
|
57.12
|
177.00
|
35.314
|
337.00
|
361
|
834
|
30.99
|
61.08
|
3.916
|
39.476
|
11.877
|
2.878
|
32.504
|
142.000
|
2.92
|
154.00
|
0.92
|
69.60
|
1160.00
|
|
105
|
32
|
8
|
72
|
older
|
Male
|
Low
|
4
|
Yes
|
NA
|
BTT
|
HMII
|
Died
|
dead
|
177249
|
103442
|
58.36
|
76.40
|
15.43
|
5.64
|
65.13
|
34.87
|
5.21
|
0.20
|
35.56
|
27.91
|
31.90
|
4.62
|
26.60
|
8.28
|
13.24
|
67.89
|
0.29
|
20.13
|
0.00
|
78.60
|
22.22
|
5.50
|
16.09
|
25.56
|
6.80
|
4.73
|
0.89
|
2.18
|
2.98
|
74.914
|
45.496
|
2.31
|
2.320
|
4.146
|
1.590
|
63.920
|
1.520
|
21.62
|
2.120
|
20.861
|
1.450
|
1.980
|
773.000
|
19.378
|
33.60
|
45.46
|
368.00
|
630.00
|
220.000
|
265.00
|
523
|
1437
|
110.00
|
102.00
|
4.899
|
63.342
|
35.967
|
3.045
|
101.000
|
80.459
|
15.43
|
193.00
|
0.39
|
234.00
|
2752.00
|
Linear mixed-effect model
We identified biomarkers associated with the categorical variables using a linear mixed effect model. Our model had a random intercept for each subject, and 3 fixed effects for the category, timepoint, and their interaction. This model is equivalent to a two-way repeated measures anova, but also has the ability to fit in the presence of missing data.
Mathematically, this model has the form
\[y_{ij}=b_0 +\sum_{k=1}^p b_k x_{ijk} + v_{i0}+\epsilon_{ij}\]
for \(i\in\{1,...,20\}\) subjects, \(j\in\{1,...,7\}\) measurements for each subject, and \(k\in1,...,p\) predictors or contrasts, where
- \(y_{ij}\in\mathbb{R}\) is the response for the \(j\)-th measurement of the \(i\)-th subject
- \(b_0\in\mathbb{R}\) is the fixed intercept for the model
- \(b_k\in\mathbb{R}\) is the fixed slope for the \(k\)-th predictor or contrast
- \(x_{ijk}\in\mathbb{R}\) is the \(j\)-th measurement of the \(k\)-th predictor for the \(i\)-th subject
- \(v_{i0}\sim N(0,\sigma_0^2)\) is the random intercept for the \(i\)-th subject
- \(e_{ij}\sim N(0,\sigma_e^2)\) is a Gaussian error term
The fundamental assumptions of this model are:
- the relationship between X and Y is linear
- \(x_{ijk}\) and \(y_{ij}\) are observed random variables
- \(v_{i0} \sim N(0,\sigma_v^2)\) is an unobserved random variable, being the random intercept for the \(i\)-th subject
- \(\epsilon_{ij}\sim N(0,\sigma_e^2)\) is an unobserved random variable, being the Gaussian error term
- \(v_{i0}\) and \(e_{ij}\) are independent of one another
- \(b_0\) and \(b_1\) are unknown constants, being the fixed intercept and fixed slope for the regression model
- \((y_{ij}|x_{ij})\sim N(b_0+b_1 x_{ij}, \sigma_Y^2)\) where \(\sigma_Y^2=\sigma_v^2+\sigma_e^2\)
In implementing the contrasts and statistical tests in R, we followed the advice found here and here, by using zero-sum contrast contr.sum, and obtaining type 3 sums of squares using the car package. Type 3 sums of squares look like \(S(A|B,AB)\), and test a main effect after the other main effect and interaction. The significance estimates are therefore valid in the presence of significant interactions.
We would have also heeded the guidelines on including random slopes for the within factor when testing for interactions, but the number of random effects would have exceeded teh number of observations.
# make sure column names are valid R variables before fitting
df.HMII.valid <- df.HMII
colnames(df.HMII.valid) <- make.names(colnames(df.HMII), unique = T)
# function to fit a two-way repeated measures anova
anova.fit <- function(this_group, this_variable, this_df){
this_df$Time <- as.factor(this_df$Time)
this_formula <- as.formula(paste0(this_variable, " ~ ", this_group, " * Time + (1|PatientID)"))
# set contrasts
contrasts(this_df[[this_group]]) <- contr.sum
contrasts(this_df$Time) <- contr.sum
# fit model
this_model <- lmer(this_formula, data = this_df)
return(list(model = this_model, group = this_group, variable = this_variable))
}
# function to get stats on the model fit
get.anovatable <- function(anova.fit.obj){
# unpack
this_model <- anova.fit.obj$model
this_variable <- anova.fit.obj$variable
this_group <- anova.fit.obj$group
# compute p-values
this_aov <- as.data.frame(Anova(this_model, type="III"))[-1,]
# annotate with additional variables
this_aov$parameter <- rownames(this_aov)
this_aov$variable <- rep(this_variable, nrow(this_aov))
this_aov$group <- rep(this_group, nrow(this_aov))
return(this_aov)
}
# create the list of variable ~ group comparisons to run mclapply over
groups.by.vars <- unlist(lapply(make.names(groups, unique = T), function(this_group){
lapply(make.names(colnames(df.HMII[,bcellcyto]), unique = T), function(this_variable){
list(group = this_group, variable = this_variable)
})
}), recursive = F)
# fit all models in parallel
models.HMII <- mclapply(groups.by.vars, function(this_e){
anova.fit(this_e$group, this_e$variable, df.HMII.valid)
})
# compute statistics in parallel
anovatable.0 <- mclapply(models.HMII, function(this_model_obj){
get.anovatable(this_model_obj)
}, mc.cores = detectCores()-1)
# include original variable names and add an index for splitting on later
anovatable <- lapply(1:length(anovatable.0), function(ii){
this_table <- anovatable.0[[ii]]
name.ix <- match(unique(this_table$variable), colnames(df.HMII.valid))
this_table$variable.valid <- this_table$variable
this_table$variable <- rep(colnames(df.HMII)[name.ix], nrow(this_table))
this_table$testid <- rep(ii, nrow(this_table))
this_table
})
False Discovery Rate
In all there were 469 models fit, each with 3 terms, for a total of 1407 hypotheses being tested. We computed local false discovery rates and \(q\)-values using the fdrtool package, which produced three figures illustrating the mixture model of the \(p\)-value distribution and the local false discovery rate.
# compute fdr
models <- as.data.frame(do.call(rbind, anovatable))
fdrobj <- fdrtool(models$`Pr(>Chisq)`, statistic = "pvalue", verbose = F)

models$qval <- fdrobj$qval
models$lfdr <- fdrobj$lfdr
anovatable.fdr <- split(models, models$testid)
Results
We reported all results with \(q<0.10\) as statistically significant.
# collect pvalues and qvalues into matrix
models.fdr <- do.call(rbind, anovatable.fdr)
qmat <- dcast(models.fdr, group+parameter~variable, value.var = "qval")
pmat <- dcast(models.fdr, group+parameter~variable, value.var = "Pr(>Chisq)")
# find significant results and mark with text qvalue
qmask <- signif(qmat[,-c(1,2)], 2)
qmask[qmat[,-c(1,2)] > FDRcutoff] <- ""
keep.signif <- apply(t(qmask), 1, function(x) !all(x == ""))
#
# # create heatmap of results
# pheatmap(-log10(t(qmat[,-c(1,2)])[keep.signif,c(3,1,2,4:nrow(pmat))]),
# color = colorRampPalette(brewer.pal(n = 9, name = "Greens"))(4),
# breaks = c(seq(0, -log10(0.1), length.out = 2),
# seq(-log10(0.1)+0.001, max(-log10(t(qmat[,-c(1,2)])[keep.signif,])), length.out = 2)),
# labels_col = pmat$parameter[c(3,1,2,4:nrow(pmat))],
# display_numbers = t(qmask)[keep.signif,c(3,1,2,4:nrow(pmat))],
# number_color = "white",
# fontsize_number = 6,
# cluster_cols = F,
# cluster_rows = F,
# gaps_col = seq(3, nrow(pmat), by = 3),
# border_color = NA,
# legend = F,
# main = paste0("ANOVA results (FDR=", FDRcutoff, ")"))
# gather significant results into a table
resulttable <- do.call(rbind, apply(which(qmask != "", arr.ind = T), 1, function(x){
data.frame(biomarker = colnames(qmat)[-c(1,2)][x[2]],
group = qmat$group[x[1]],
parameter = qmat$parameter[x[1]],
pvalue = pmat[,-c(1,2)][x[1], x[2]],
qvalue = qmat[,-c(1,2)][x[1], x[2]])
}))
resulttable.sort <- resulttable[order(resulttable$pvalue), , drop = F]
resulttable.sort[,c("pvalue","qvalue")] <- signif(resulttable.sort[,c("pvalue","qvalue")], 3)
rownames(resulttable.sort) <- 1:nrow(resulttable.sort)
resulttable.sort %>%
# mutate(
# pvalue = cell_spec(pvalue, color = ifelse(resulttable.sort$pvalue > pcutoff, "grey", "green")),
# qvalue = cell_spec(qvalue, color = ifelse(resulttable.sort$qvalue > FDRcutoff, "grey", "green"))
# ) %>%
kable(escape = F, row.names = T) %>%
kable_styling(bootstrap_options = c("striped",
"hover",
"condensed",
"responsive"),
font_size = 10) %>%
scroll_box(width = "100%")
|
|
biomarker
|
group
|
parameter
|
pvalue
|
qvalue
|
|
1
|
MCP-1
|
VAD.Indication
|
VAD.Indication:Time
|
1.00e-07
|
0.000112
|
|
2
|
G-CSF
|
RVAD
|
Time
|
2.00e-07
|
0.000112
|
|
3
|
MCP-1
|
VAD.Indication
|
Time
|
3.00e-07
|
0.000112
|
|
4
|
CD27+IgD-IgM+ switched memory
|
Sensitized
|
Time
|
7.00e-07
|
0.000208
|
|
5
|
num lymph
|
AgeGreater60
|
AgeGreater60
|
1.02e-05
|
0.002530
|
|
6
|
IL-8
|
RVAD
|
Time
|
1.00e-04
|
0.017700
|
|
7
|
G-CSF
|
RVAD
|
RVAD:Time
|
1.01e-04
|
0.017900
|
|
8
|
IP-10
|
VAD.Indication
|
VAD.Indication:Time
|
1.54e-04
|
0.023800
|
|
9
|
CD19+CD268+
|
RVAD
|
Time
|
5.02e-04
|
0.053200
|
|
10
|
CD268 of +27-38++transitional
|
AgeGreater60
|
AgeGreater60:Time
|
6.17e-04
|
0.059200
|
|
11
|
GRO
|
Sensitized
|
Time
|
7.11e-04
|
0.063300
|
|
12
|
CD19 of live lymph
|
Sex
|
Time
|
7.78e-04
|
0.066000
|
|
13
|
CD27+IgD-IgM+ switched memory
|
Sensitized
|
Sensitized:Time
|
8.15e-04
|
0.067300
|
|
14
|
CD19+27+IgD-38++IgG ASC
|
RVAD
|
Time
|
8.60e-04
|
0.068800
|
|
15
|
TNF-a
|
VAD.Indication
|
VAD.Indication:Time
|
8.64e-04
|
0.068900
|
|
16
|
sCD40L
|
Sensitized
|
Time
|
9.34e-04
|
0.071200
|
|
17
|
IL-1b
|
LowIntermacs
|
Time
|
1.20e-03
|
0.077900
|
|
18
|
CD19+CD268+
|
AgeGreater60
|
Time
|
1.41e-03
|
0.082000
|
|
19
|
CD19+27+IgD-38++IgG ASC
|
LowIntermacs
|
LowIntermacs
|
1.51e-03
|
0.083700
|
|
20
|
CD19+CD268+
|
Survival
|
Time
|
1.53e-03
|
0.084000
|
|
21
|
CD19+CD5+CD11b+
|
VAD.Indication
|
Time
|
1.58e-03
|
0.084800
|
|
22
|
IL-5
|
LowIntermacs
|
LowIntermacs
|
1.59e-03
|
0.084900
|
|
23
|
TNF-a
|
VAD.Indication
|
VAD.Indication
|
1.59e-03
|
0.085000
|
|
24
|
CD27-IgD+ mature naive
|
AgeGreater60
|
Time
|
1.67e-03
|
0.086000
|
|
25
|
G-CSF
|
Survival
|
Time
|
1.84e-03
|
0.091300
|
Figures
# long
df.long <- melt(df.HMII, id.vars = colnames(df)[1:13])
names(df.long) <- make.names(names(df.long))
# list of identifiers for significant results to plot
unique_results <- unique(resulttable.sort[,c("biomarker","group")])
# make all timeseries plots
plots.ts <- mclapply(1:nrow(unique_results), function(ii){
this_var <- as.character(unique_results[ii, "biomarker"])
this_groups <- as.character(unique_results[ii, "group"])
this_df.0 <- droplevels(subset(df.long, df.long$variable == this_var))
this_df <- droplevels(this_df.0[!is.na(this_df.0$value),])
ggplot(this_df) +
aes(x = Time, y = value, group = PatientID) +
aes_string(color = this_groups, fill = this_groups) +
geom_line(alpha = 0.2) +
geom_point(alpha = 0.1) +
stat_summary(fun.y = mean,
aes_string(group = this_groups),
geom=c("point"),
position = position_dodge(.5)) +
stat_summary(fun.y = mean,
aes_string(group = this_groups),
geom=c("line"),
size = 2,
position = position_dodge(.5)) +
# stat_smooth(method = "loess",
# aes_string(group = this_groups),
# size = .01,
# span = 1,
# alpha = 0.1) +
stat_sum_df(function(x) mean_cl_normal(x, conf.int = 0.68),
mapping = aes_string(group = this_groups),
position = position_dodge(.5)) +
scale_color_aaas() + scale_fill_aaas() +
xlab("Time (days after surgery)") +
ylab(this_var) +
scale_x_continuous(breaks = unique(this_df$Time)) +
ggtitle(paste(this_var)) +
theme_classic()
}, mc.cores = detectCores()-1)
names(plots.ts) <- paste(unique_results$biomarker, unique_results$group, sep = " | ")
p2stars <- function(p){
if(p >= 0.1) s <- ""
if(p < 0.1 & p >= 0.05) s <- "."
if(p < 0.05 & p >= 0.01) s <- "*"
if(p < 0.01 & p >= 0.001) s <- "**"
if(p < 0.001 & p >= 0.0001) s <- "***"
if(p < 0.0001 & p >= 0) s <- "****"
return(s)
}
# print out results
for(ii in 1:length(plots.ts)){
cat(" \n###", names(plots.ts)[ii], "\n")
testid <- unique(models.fdr$testid[models.fdr$variable == unique_results$biomarker[ii] &
models.fdr$group == unique_results$group[ii]])
this_anova <- anovatable.fdr[[testid]][,c("variable", "group", "parameter", "Chisq", "Df", "Pr(>Chisq)", "qval", "lfdr")]
this_anova$stars <- sapply(this_anova$`Pr(>Chisq)`, p2stars)
print(this_anova %>%
# mutate(
# pvalue = cell_spec(pvalue, color = ifelse(resulttable.sort$pvalue > pcutoff, "grey", "green")),
# qvalue = cell_spec(qvalue, color = ifelse(resulttable.sort$qvalue > FDRcutoff, "grey", "green"))
# ) %>%
kable(escape = F, row.names = F) %>%
kable_styling(bootstrap_options = c("striped",
"hover",
"condensed",
"responsive"),
font_size = 10) %>%
scroll_box(width = "100%"))
cat(" \n")
suppressWarnings(print(plots.ts[[ii]]))
cat(" \n")
model.summary <- summary(models.HMII[[testid]]$model)
this_summary <- as.data.frame(model.summary$coefficients)
this_summary$stars <- sapply(this_summary$`Pr(>|t|)`, p2stars)
print(this_summary %>%
# mutate(
# pvalue = cell_spec(pvalue, color = ifelse(resulttable.sort$pvalue > pcutoff, "grey", "green")),
# qvalue = cell_spec(qvalue, color = ifelse(resulttable.sort$qvalue > FDRcutoff, "grey", "green"))
# ) %>%
kable(escape = F, row.names = T) %>%
kable_styling(bootstrap_options = c("striped",
"hover",
"condensed",
"responsive"),
font_size = 10) %>%
scroll_box(width = "100%"))
cat(" \n")
}
MCP-1 | VAD.Indication
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
MCP-1
|
VAD.Indication
|
VAD.Indication
|
0.7665451
|
1
|
0.3812880
|
0.7363448
|
0.9789241
|
|
|
MCP-1
|
VAD.Indication
|
Time
|
36.1407299
|
4
|
0.0000003
|
0.0001117
|
0.0004958
|
****
|
|
MCP-1
|
VAD.Indication
|
VAD.Indication:Time
|
37.5815741
|
4
|
0.0000001
|
0.0001117
|
0.0001117
|
****
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
561.90280
|
130.8896
|
39.03944
|
4.2929520
|
0.0001128
|
***
|
|
VAD.Indication1
|
-114.59720
|
130.8896
|
39.03944
|
-0.8755256
|
0.3866432
|
|
|
Time1
|
764.73275
|
149.9178
|
49.76713
|
5.1010123
|
0.0000053
|
****
|
|
Time3
|
22.58061
|
140.0921
|
49.14691
|
0.1611841
|
0.8726092
|
|
|
Time5
|
26.81099
|
141.2744
|
49.28012
|
0.1897796
|
0.8502614
|
|
|
Time8
|
62.45787
|
140.0921
|
49.14691
|
0.4458345
|
0.6576748
|
|
|
VAD.Indication1:Time1
|
-698.15698
|
149.9178
|
49.76713
|
-4.6569307
|
0.0000242
|
****
|
|
VAD.Indication1:Time3
|
33.83061
|
140.0921
|
49.14691
|
0.2414884
|
0.8101813
|
|
|
VAD.Indication1:Time5
|
64.06099
|
141.2744
|
49.28012
|
0.4534509
|
0.6522146
|
|
|
VAD.Indication1:Time8
|
100.70787
|
140.0921
|
49.14691
|
0.7188692
|
0.4756257
|
|
G-CSF | RVAD
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
G-CSF
|
RVAD
|
RVAD
|
0.9711906
|
1
|
0.3243834
|
0.7103671
|
0.8927675
|
|
|
G-CSF
|
RVAD
|
Time
|
36.8079880
|
4
|
0.0000002
|
0.0001117
|
0.0001117
|
****
|
|
G-CSF
|
RVAD
|
RVAD:Time
|
23.4918035
|
4
|
0.0001010
|
0.0178547
|
0.0655772
|
***
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
80.858529
|
29.05715
|
43.64313
|
2.7827415
|
0.0079337
|
**
|
|
RVAD1
|
28.635529
|
29.05715
|
43.64313
|
0.9854900
|
0.3298156
|
|
|
Time1
|
154.373489
|
33.17328
|
49.28409
|
4.6535487
|
0.0000249
|
****
|
|
Time3
|
-8.260040
|
32.98754
|
49.17215
|
-0.2503988
|
0.8033222
|
|
|
Time5
|
-12.489285
|
33.17328
|
49.28409
|
-0.3764863
|
0.7081715
|
|
|
Time8
|
1.965234
|
32.98754
|
49.17215
|
0.0595750
|
0.9527356
|
|
|
RVAD1:Time1
|
-137.156844
|
33.17328
|
49.28409
|
-4.1345574
|
0.0001379
|
***
|
|
RVAD1:Time3
|
-25.361374
|
32.98754
|
49.17215
|
-0.7688168
|
0.4456792
|
|
|
RVAD1:Time5
|
-6.657618
|
33.17328
|
49.28409
|
-0.2006922
|
0.8417652
|
|
|
RVAD1:Time8
|
-13.601766
|
32.98754
|
49.17215
|
-0.4123305
|
0.6818894
|
|
CD27+IgD-IgM+ switched memory | Sensitized
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
CD27+IgD-IgM+ switched memory
|
Sensitized
|
Sensitized
|
1.636678
|
1
|
0.2007818
|
0.6480377
|
0.7942120
|
|
|
CD27+IgD-IgM+ switched memory
|
Sensitized
|
Time
|
39.142294
|
6
|
0.0000007
|
0.0002077
|
0.0118223
|
****
|
|
CD27+IgD-IgM+ switched memory
|
Sensitized
|
Sensitized:Time
|
20.986487
|
5
|
0.0008148
|
0.0672896
|
0.1170453
|
***
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
27.381872
|
4.119248
|
17.00582
|
6.6472993
|
0.0000041
|
****
|
|
Sensitized1
|
5.392050
|
4.214754
|
18.12863
|
1.2793273
|
0.2169144
|
|
|
Time1
|
-12.864273
|
2.909664
|
23.34557
|
-4.4212228
|
0.0001912
|
***
|
|
Time2
|
-5.898282
|
2.947423
|
23.34374
|
-2.0011658
|
0.0571320
|
.
|
|
Time3
|
1.110251
|
3.067201
|
23.49442
|
0.3619754
|
0.7206058
|
|
|
Time4
|
42.955373
|
14.695027
|
23.50196
|
2.9231231
|
0.0075435
|
**
|
|
Time5
|
-8.437023
|
2.909664
|
23.34557
|
-2.8996554
|
0.0080027
|
**
|
|
Time6
|
-10.689470
|
3.361716
|
23.31104
|
-3.1797657
|
0.0041298
|
**
|
|
Sensitized1:Time1
|
-5.551951
|
3.189779
|
23.38442
|
-1.7405443
|
0.0949085
|
.
|
|
Sensitized1:Time2
|
-7.529929
|
3.328970
|
23.46673
|
-2.2619395
|
0.0332577
|
|
|
Sensitized1:Time3
|
-14.534890
|
3.435471
|
23.57930
|
-4.2308282
|
0.0003030
|
***
|
|
Sensitized1:Time4
|
40.519843
|
14.390728
|
23.59482
|
2.8156911
|
0.0096665
|
**
|
|
Sensitized1:Time5
|
-5.877201
|
3.189779
|
23.38442
|
-1.8425106
|
0.0781161
|
.
|
num lymph | AgeGreater60
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
num lymph
|
AgeGreater60
|
AgeGreater60
|
19.46946
|
1
|
0.0000102
|
0.0025306
|
0.0561648
|
****
|
|
num lymph
|
AgeGreater60
|
Time
|
11.87890
|
6
|
0.0647256
|
0.5054532
|
0.7021147
|
.
|
|
num lymph
|
AgeGreater60
|
AgeGreater60:Time
|
16.81779
|
6
|
0.0099767
|
0.2453627
|
0.4469460
|
**
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
98232.962
|
9565.859
|
16.93767
|
10.2691208
|
0.0000000
|
****
|
|
AgeGreater601
|
42208.600
|
9565.859
|
16.93767
|
4.4124212
|
0.0003840
|
***
|
|
Time1
|
-17358.438
|
17379.896
|
8030.90546
|
-0.9987653
|
0.3179385
|
|
|
Time2
|
-46436.374
|
19371.964
|
1017.84823
|
-2.3970917
|
0.0167053
|
|
|
Time3
|
-24345.933
|
18428.243
|
2543.63939
|
-1.3211207
|
0.1865799
|
|
|
Time4
|
4546.455
|
22578.518
|
2116.30122
|
0.2013620
|
0.8404349
|
|
|
Time5
|
-5057.389
|
16846.728
|
7767.08477
|
-0.3002001
|
0.7640326
|
|
|
Time6
|
43219.041
|
26820.842
|
1436.94476
|
1.6113976
|
0.1073127
|
|
|
AgeGreater601:Time1
|
-46178.068
|
17379.896
|
8030.90546
|
-2.6569819
|
0.0079000
|
**
|
|
AgeGreater601:Time2
|
-34749.595
|
19371.964
|
1017.84823
|
-1.7938086
|
0.0731405
|
.
|
|
AgeGreater601:Time3
|
-24691.948
|
18428.243
|
2543.63939
|
-1.3398970
|
0.1803985
|
|
|
AgeGreater601:Time4
|
22264.777
|
22578.518
|
2116.30122
|
0.9861044
|
0.3241946
|
|
|
AgeGreater601:Time5
|
1066.598
|
16846.728
|
7767.08477
|
0.0633119
|
0.9495198
|
|
|
AgeGreater601:Time6
|
21458.523
|
26820.842
|
1436.94476
|
0.8000689
|
0.4238031
|
|
IL-8 | RVAD
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
IL-8
|
RVAD
|
RVAD
|
0.1597045
|
1
|
0.6894287
|
0.8345596
|
1.0000000
|
|
|
IL-8
|
RVAD
|
Time
|
23.5113244
|
4
|
0.0001001
|
0.0177453
|
0.0561648
|
***
|
|
IL-8
|
RVAD
|
RVAD:Time
|
14.4619692
|
4
|
0.0059577
|
0.1881234
|
0.4469460
|
**
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
41.031296
|
15.91795
|
42.93629
|
2.5776752
|
0.0134632
|
|
|
RVAD1
|
6.361296
|
15.91795
|
42.93629
|
0.3996304
|
0.6914098
|
|
|
Time1
|
63.959123
|
18.28593
|
48.17847
|
3.4977230
|
0.0010196
|
**
|
|
Time3
|
18.776102
|
18.18381
|
48.05827
|
1.0325726
|
0.3069724
|
|
|
Time5
|
5.550902
|
18.28593
|
48.17847
|
0.3035613
|
0.7627692
|
|
|
Time8
|
63.811279
|
18.18381
|
48.05827
|
3.5092363
|
0.0009868
|
***
|
|
RVAD1:Time1
|
-26.077543
|
18.28593
|
48.17847
|
-1.4260987
|
0.1602877
|
|
|
RVAD1:Time3
|
-17.753898
|
18.18381
|
48.05827
|
-0.9763576
|
0.3337766
|
|
|
RVAD1:Time5
|
-2.605765
|
18.28593
|
48.17847
|
-0.1425011
|
0.8872785
|
|
|
RVAD1:Time8
|
-60.798721
|
18.18381
|
48.05827
|
-3.3435638
|
0.0016095
|
**
|
IP-10 | VAD.Indication
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
IP-10
|
VAD.Indication
|
VAD.Indication
|
2.796429
|
1
|
0.0944745
|
0.5543465
|
0.7021147
|
.
|
|
IP-10
|
VAD.Indication
|
Time
|
1.654803
|
4
|
0.7989103
|
0.8539194
|
1.0000000
|
|
|
IP-10
|
VAD.Indication
|
VAD.Indication:Time
|
22.574963
|
4
|
0.0001539
|
0.0238200
|
0.1170453
|
***
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
863.28009
|
136.6240
|
38.36077
|
6.3186544
|
0.0000002
|
****
|
|
VAD.Indication1
|
-228.46991
|
136.6240
|
38.36077
|
-1.6722527
|
0.1026129
|
|
|
Time1
|
-58.05381
|
156.0408
|
50.35251
|
-0.3720426
|
0.7114224
|
|
|
Time3
|
-177.14371
|
145.8087
|
49.71218
|
-1.2149047
|
0.2301415
|
|
|
Time5
|
-36.13792
|
147.0403
|
49.84989
|
-0.2457687
|
0.8068704
|
|
|
Time8
|
-67.64178
|
145.8087
|
49.71218
|
-0.4639076
|
0.6447390
|
|
|
VAD.Indication1:Time1
|
-72.29918
|
156.0408
|
50.35251
|
-0.4633352
|
0.6451207
|
|
|
VAD.Indication1:Time3
|
361.85629
|
145.8087
|
49.71218
|
2.4817190
|
0.0165007
|
|
|
VAD.Indication1:Time5
|
499.61208
|
147.0403
|
49.84989
|
3.3977891
|
0.0013430
|
**
|
|
VAD.Indication1:Time8
|
403.10822
|
145.8087
|
49.71218
|
2.7646371
|
0.0079736
|
**
|
CD19+CD268+ | RVAD
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
CD19+CD268+
|
RVAD
|
RVAD
|
0.0657854
|
1
|
0.7975751
|
0.8537106
|
1.0000000
|
|
|
CD19+CD268+
|
RVAD
|
Time
|
24.0929914
|
6
|
0.0005021
|
0.0532019
|
0.1170453
|
***
|
|
CD19+CD268+
|
RVAD
|
RVAD:Time
|
12.4104462
|
5
|
0.0295766
|
0.3899639
|
0.5885059
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
71.0915597
|
6.669442
|
18.59108
|
10.6592966
|
0.0000000
|
****
|
|
RVAD1
|
1.7084904
|
6.661127
|
18.49977
|
0.2564867
|
0.8004057
|
|
|
Time1
|
7.2862388
|
3.287694
|
55.49353
|
2.2162156
|
0.0307947
|
|
|
Time2
|
12.1505338
|
3.370183
|
55.42071
|
3.6053042
|
0.0006688
|
***
|
|
Time3
|
-2.0649129
|
3.603627
|
56.71934
|
-0.5730097
|
0.5689030
|
|
|
Time4
|
0.6284739
|
5.288882
|
56.31204
|
0.1188293
|
0.9058335
|
|
|
Time5
|
-5.5692341
|
3.034159
|
55.63506
|
-1.8355118
|
0.0717768
|
.
|
|
Time6
|
-7.1847165
|
3.710915
|
55.33508
|
-1.9361038
|
0.0579695
|
.
|
|
RVAD1:Time1
|
-5.8129680
|
3.247756
|
55.52207
|
-1.7898414
|
0.0789332
|
.
|
|
RVAD1:Time2
|
-6.2774091
|
3.315041
|
55.43531
|
-1.8936141
|
0.0634995
|
.
|
|
RVAD1:Time3
|
8.1847488
|
3.546151
|
56.73923
|
2.3080656
|
0.0246632
|
|
|
RVAD1:Time4
|
-0.4086623
|
5.254895
|
56.33024
|
-0.0777679
|
0.9382883
|
|
|
RVAD1:Time5
|
4.3552802
|
2.981250
|
55.63204
|
1.4608907
|
0.1496707
|
|
CD268 of +27-38++transitional | AgeGreater60
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
CD268 of +27-38++transitional
|
AgeGreater60
|
AgeGreater60
|
0.2322852
|
1
|
0.6298345
|
0.8216969
|
1.0000000
|
|
|
CD268 of +27-38++transitional
|
AgeGreater60
|
Time
|
13.6403081
|
6
|
0.0339226
|
0.4075803
|
0.5885059
|
|
|
CD268 of +27-38++transitional
|
AgeGreater60
|
AgeGreater60:Time
|
23.6053408
|
6
|
0.0006171
|
0.0592243
|
0.1170453
|
***
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
42.8890027
|
5.456738
|
18.62523
|
7.8598238
|
0.0000002
|
****
|
|
AgeGreater601
|
-2.6299282
|
5.456738
|
18.62523
|
-0.4819597
|
0.6354494
|
|
|
Time1
|
7.7769537
|
3.661163
|
54.86739
|
2.1241759
|
0.0381774
|
|
|
Time2
|
11.1890385
|
4.235025
|
55.98436
|
2.6420240
|
0.0106649
|
|
|
Time3
|
-0.5785914
|
3.960824
|
55.66291
|
-0.1460786
|
0.8843871
|
|
|
Time4
|
-0.4458228
|
4.848810
|
55.41628
|
-0.0919448
|
0.9270735
|
|
|
Time5
|
-3.0182156
|
3.552198
|
54.93024
|
-0.8496754
|
0.3991937
|
|
|
Time6
|
-11.5596086
|
5.795202
|
55.52990
|
-1.9946861
|
0.0509946
|
.
|
|
AgeGreater601:Time1
|
-3.4675113
|
3.661163
|
54.86739
|
-0.9471066
|
0.3477372
|
|
|
AgeGreater601:Time2
|
-2.7610575
|
4.235025
|
55.98436
|
-0.6519577
|
0.5170962
|
|
|
AgeGreater601:Time3
|
-11.1940766
|
3.960824
|
55.66291
|
-2.8261991
|
0.0065302
|
**
|
|
AgeGreater601:Time4
|
9.2911740
|
4.848810
|
55.41628
|
1.9161760
|
0.0605064
|
.
|
|
AgeGreater601:Time5
|
10.1433722
|
3.552198
|
54.93024
|
2.8555198
|
0.0060524
|
**
|
|
AgeGreater601:Time6
|
-9.0603563
|
5.795202
|
55.52990
|
-1.5634238
|
0.1236345
|
|
GRO | Sensitized
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
GRO
|
Sensitized
|
Sensitized
|
1.498174
|
1
|
0.2209526
|
0.6591120
|
0.7942120
|
|
|
GRO
|
Sensitized
|
Time
|
19.222649
|
4
|
0.0007106
|
0.0633400
|
0.1170453
|
***
|
|
GRO
|
Sensitized
|
Sensitized:Time
|
2.295863
|
4
|
0.6815224
|
0.8329609
|
1.0000000
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
428.46846
|
74.37223
|
14.44520
|
5.7611351
|
0.0000436
|
****
|
|
Sensitized1
|
91.03154
|
74.37223
|
14.44520
|
1.2239991
|
0.2405420
|
|
|
Time1
|
-122.47863
|
75.67331
|
18.12125
|
-1.6185182
|
0.1228240
|
|
|
Time3
|
-110.10890
|
75.54944
|
18.06193
|
-1.4574417
|
0.1621621
|
|
|
Time5
|
12.21766
|
79.17311
|
18.29747
|
0.1543157
|
0.8790502
|
|
|
Time8
|
166.57488
|
75.94501
|
18.14856
|
2.1933617
|
0.0415419
|
|
|
Sensitized1:Time1
|
-93.54170
|
75.67331
|
18.12125
|
-1.2361255
|
0.2321958
|
|
|
Sensitized1:Time3
|
-58.67197
|
75.54944
|
18.06193
|
-0.7766037
|
0.4474442
|
|
|
Sensitized1:Time5
|
-55.23799
|
79.17311
|
18.29747
|
-0.6976862
|
0.4941446
|
|
|
Sensitized1:Time8
|
-103.32488
|
75.94501
|
18.14856
|
-1.3605223
|
0.1903239
|
|
CD19 of live lymph | Sex
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
CD19 of live lymph
|
Sex
|
Sex
|
0.1225005
|
1
|
0.7263382
|
0.8416352
|
1.0000000
|
|
|
CD19 of live lymph
|
Sex
|
Time
|
23.0557835
|
6
|
0.0007780
|
0.0659624
|
0.1170453
|
***
|
|
CD19 of live lymph
|
Sex
|
Sex:Time
|
5.1871659
|
6
|
0.5200417
|
0.7918872
|
1.0000000
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
12.5892985
|
1.879525
|
18.27074
|
6.6981285
|
0.0000026
|
****
|
|
Sex1
|
0.6578350
|
1.879525
|
18.27074
|
0.3500007
|
0.7303405
|
|
|
Time1
|
-1.0752514
|
2.031785
|
55.49745
|
-0.5292153
|
0.5987667
|
|
|
Time2
|
9.2449391
|
2.277440
|
57.75730
|
4.0593551
|
0.0001498
|
***
|
|
Time3
|
4.2165338
|
2.237468
|
58.17325
|
1.8845112
|
0.0644952
|
.
|
|
Time4
|
-0.9765939
|
2.876371
|
58.99847
|
-0.3395230
|
0.7354215
|
|
|
Time5
|
-1.9466931
|
2.148457
|
57.48071
|
-0.9060890
|
0.3686714
|
|
|
Time6
|
-3.3473554
|
3.026480
|
58.97719
|
-1.1060227
|
0.2732080
|
|
|
Sex1:Time1
|
0.1741180
|
2.031785
|
55.49745
|
0.0856971
|
0.9320156
|
|
|
Sex1:Time2
|
4.3823140
|
2.277440
|
57.75730
|
1.9242278
|
0.0592577
|
.
|
|
Sex1:Time3
|
-0.2634753
|
2.237468
|
58.17325
|
-0.1177560
|
0.9066666
|
|
|
Sex1:Time4
|
0.9753035
|
2.876371
|
58.99847
|
0.3390743
|
0.7357577
|
|
|
Sex1:Time5
|
-0.7827484
|
2.148457
|
57.48071
|
-0.3643305
|
0.7169481
|
|
|
Sex1:Time6
|
-0.1889350
|
3.026480
|
58.97719
|
-0.0624273
|
0.9504336
|
|
CD19+27+IgD-38++IgG ASC | RVAD
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
CD19+27+IgD-38++IgG ASC
|
RVAD
|
RVAD
|
1.488335
|
1
|
0.2224750
|
0.6598801
|
0.7942120
|
|
|
CD19+27+IgD-38++IgG ASC
|
RVAD
|
Time
|
22.817493
|
6
|
0.0008600
|
0.0688251
|
0.1170453
|
***
|
|
CD19+27+IgD-38++IgG ASC
|
RVAD
|
RVAD:Time
|
17.101744
|
5
|
0.0043108
|
0.1546736
|
0.3213720
|
**
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
2.6203538
|
0.4818057
|
25.08410
|
5.4386107
|
0.0000119
|
****
|
|
RVAD1
|
-0.5820248
|
0.4770799
|
24.32938
|
-1.2199734
|
0.2341693
|
|
|
Time1
|
-0.4829397
|
0.7950820
|
60.53341
|
-0.6074087
|
0.5458516
|
|
|
Time2
|
-0.3623417
|
0.8101593
|
60.04771
|
-0.4472475
|
0.6563056
|
|
|
Time3
|
-0.9487047
|
0.7526078
|
69.94667
|
-1.2605566
|
0.2116575
|
|
|
Time4
|
4.9272893
|
1.0629443
|
63.91519
|
4.6355104
|
0.0000181
|
****
|
|
Time5
|
-1.1542426
|
0.6975396
|
60.29710
|
-1.6547341
|
0.1031751
|
|
|
Time6
|
-1.0123485
|
0.7731201
|
59.04495
|
-1.3094324
|
0.1954605
|
|
|
RVAD1:Time1
|
1.6503809
|
0.7872629
|
60.72805
|
2.0963530
|
0.0402249
|
|
|
RVAD1:Time2
|
0.7059977
|
0.8000041
|
60.09863
|
0.8824926
|
0.3810268
|
|
|
RVAD1:Time3
|
0.5263792
|
0.7415354
|
69.96874
|
0.7098503
|
0.4801560
|
|
|
RVAD1:Time4
|
-4.1269689
|
1.0552262
|
64.05477
|
-3.9109802
|
0.0002248
|
***
|
|
RVAD1:Time5
|
0.7750050
|
0.6879253
|
60.22781
|
1.1265830
|
0.2643876
|
|
TNF-a | VAD.Indication
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
TNF-a
|
VAD.Indication
|
VAD.Indication
|
9.965749
|
1
|
0.0015948
|
0.084951
|
0.1170453
|
**
|
|
TNF-a
|
VAD.Indication
|
Time
|
10.875544
|
4
|
0.0279989
|
0.382689
|
0.5885059
|
|
|
TNF-a
|
VAD.Indication
|
VAD.Indication:Time
|
18.791729
|
4
|
0.0008636
|
0.068943
|
0.1170453
|
***
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
46.39425
|
6.242760
|
46.96050
|
7.431689
|
0.0000000
|
****
|
|
VAD.Indication1
|
-19.70750
|
6.242760
|
46.96050
|
-3.156857
|
0.0027848
|
**
|
|
Time1
|
-15.97599
|
7.777895
|
50.58175
|
-2.054025
|
0.0451592
|
|
|
Time3
|
-20.73240
|
7.277482
|
49.73388
|
-2.848843
|
0.0063659
|
**
|
|
Time5
|
-19.13826
|
7.336929
|
49.90668
|
-2.608484
|
0.0119672
|
|
|
Time8
|
-18.60823
|
7.277482
|
49.73388
|
-2.556960
|
0.0136582
|
|
|
VAD.Indication1:Time1
|
13.61045
|
7.777895
|
50.58175
|
1.749888
|
0.0862022
|
.
|
|
VAD.Indication1:Time3
|
26.04310
|
7.277482
|
49.73388
|
3.578586
|
0.0007821
|
***
|
|
VAD.Indication1:Time5
|
24.12499
|
7.336929
|
49.90668
|
3.288159
|
0.0018522
|
**
|
|
VAD.Indication1:Time8
|
25.57552
|
7.277482
|
49.73388
|
3.514337
|
0.0009497
|
***
|
sCD40L | Sensitized
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
sCD40L
|
Sensitized
|
Sensitized
|
3.144392
|
1
|
0.0761884
|
0.5276911
|
0.7021147
|
.
|
|
sCD40L
|
Sensitized
|
Time
|
18.617338
|
4
|
0.0009343
|
0.0711582
|
0.1170453
|
***
|
|
sCD40L
|
Sensitized
|
Sensitized:Time
|
4.966288
|
4
|
0.2907741
|
0.6939787
|
0.8927675
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
5143.6942
|
1093.226
|
13.98188
|
4.7050599
|
0.0003391
|
***
|
|
Sensitized1
|
1938.5558
|
1093.226
|
13.98188
|
1.7732433
|
0.0979627
|
.
|
|
Time1
|
-2404.0569
|
1042.935
|
40.71754
|
-2.3050879
|
0.0263347
|
|
|
Time3
|
-2778.8665
|
1041.062
|
40.60975
|
-2.6692624
|
0.0108767
|
|
|
Time5
|
-1369.0943
|
1091.673
|
41.01647
|
-1.2541252
|
0.2168970
|
|
|
Time8
|
953.1374
|
1046.749
|
40.75782
|
0.9105689
|
0.3678765
|
|
|
Sensitized1:Time1
|
-1894.9185
|
1042.935
|
40.71754
|
-1.8169094
|
0.0765966
|
.
|
|
Sensitized1:Time3
|
-2038.4781
|
1041.062
|
40.60975
|
-1.9580764
|
0.0571155
|
.
|
|
Sensitized1:Time5
|
-1399.5477
|
1091.673
|
41.01647
|
-1.2820213
|
0.2070344
|
|
|
Sensitized1:Time8
|
-1679.8874
|
1046.749
|
40.75782
|
-1.6048612
|
0.1162461
|
|
IL-1b | LowIntermacs
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
IL-1b
|
LowIntermacs
|
LowIntermacs
|
4.882947
|
1
|
0.0271233
|
0.3784164
|
0.5885059
|
|
|
IL-1b
|
LowIntermacs
|
Time
|
18.060820
|
4
|
0.0012008
|
0.0779384
|
0.1170453
|
**
|
|
IL-1b
|
LowIntermacs
|
LowIntermacs:Time
|
10.387189
|
4
|
0.0343869
|
0.4092792
|
0.6622384
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
3.9300857
|
1.224314
|
37.85729
|
3.2100312
|
0.0027049
|
**
|
|
LowIntermacs1
|
-2.7054143
|
1.224314
|
37.85729
|
-2.2097392
|
0.0332453
|
|
|
Time1
|
-1.8535475
|
1.295245
|
48.08715
|
-1.4310398
|
0.1588858
|
|
|
Time3
|
-0.9004147
|
1.309640
|
48.36199
|
-0.6875283
|
0.4950341
|
|
|
Time5
|
-0.3996779
|
1.295245
|
48.08715
|
-0.3085731
|
0.7589791
|
|
|
Time8
|
3.6212519
|
1.352478
|
47.76025
|
2.6774934
|
0.0101373
|
|
|
LowIntermacs1:Time1
|
2.2003761
|
1.295245
|
48.08715
|
1.6988105
|
0.0958169
|
.
|
|
LowIntermacs1:Time3
|
2.0036853
|
1.309640
|
48.36199
|
1.5299510
|
0.1325442
|
|
|
LowIntermacs1:Time5
|
1.6665065
|
1.295245
|
48.08715
|
1.2866340
|
0.2043817
|
|
|
LowIntermacs1:Time8
|
4.3209519
|
1.352478
|
47.76025
|
3.1948399
|
0.0024795
|
**
|
CD19+CD268+ | AgeGreater60
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
CD19+CD268+
|
AgeGreater60
|
AgeGreater60
|
0.3469473
|
1
|
0.5558463
|
0.8026471
|
1.0000000
|
|
|
CD19+CD268+
|
AgeGreater60
|
Time
|
21.6351602
|
6
|
0.0014096
|
0.0819979
|
0.1170453
|
**
|
|
CD19+CD268+
|
AgeGreater60
|
AgeGreater60:Time
|
13.2451783
|
6
|
0.0393036
|
0.4298171
|
0.6622384
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
70.4017575
|
5.672437
|
18.15725
|
12.4112019
|
0.0000000
|
****
|
|
AgeGreater601
|
-3.3411917
|
5.672437
|
18.15725
|
-0.5890223
|
0.5631035
|
|
|
Time1
|
4.9765953
|
2.590762
|
54.25758
|
1.9209001
|
0.0600052
|
.
|
|
Time2
|
10.1512843
|
3.005294
|
54.77171
|
3.3778010
|
0.0013511
|
**
|
|
Time3
|
3.2224413
|
2.808601
|
54.64585
|
1.1473474
|
0.2562366
|
|
|
Time4
|
0.7309697
|
3.435885
|
54.50554
|
0.2127457
|
0.8323190
|
|
|
Time5
|
-1.9134713
|
2.514085
|
54.29129
|
-0.7611005
|
0.4498903
|
|
|
Time6
|
-11.8954405
|
4.107626
|
54.55324
|
-2.8959406
|
0.0054286
|
**
|
|
AgeGreater601:Time1
|
6.6645644
|
2.590762
|
54.25758
|
2.5724339
|
0.0128675
|
|
|
AgeGreater601:Time2
|
2.9239069
|
3.005294
|
54.77171
|
0.9729188
|
0.3348709
|
|
|
AgeGreater601:Time3
|
-2.9963497
|
2.808601
|
54.64585
|
-1.0668477
|
0.2907313
|
|
|
AgeGreater601:Time4
|
2.5287625
|
3.435885
|
54.50554
|
0.7359857
|
0.4648951
|
|
|
AgeGreater601:Time5
|
1.6646309
|
2.514085
|
54.29129
|
0.6621220
|
0.5106939
|
|
|
AgeGreater601:Time6
|
-10.5021121
|
4.107626
|
54.55324
|
-2.5567353
|
0.0133799
|
|
CD19+27+IgD-38++IgG ASC | LowIntermacs
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
CD19+27+IgD-38++IgG ASC
|
LowIntermacs
|
LowIntermacs
|
10.064934
|
1
|
0.0015112
|
0.0836814
|
0.1170453
|
**
|
|
CD19+27+IgD-38++IgG ASC
|
LowIntermacs
|
Time
|
7.025492
|
6
|
0.3184962
|
0.7076945
|
0.8927675
|
|
|
CD19+27+IgD-38++IgG ASC
|
LowIntermacs
|
LowIntermacs:Time
|
4.762124
|
6
|
0.5746644
|
0.8078680
|
1.0000000
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
2.0811760
|
0.2973039
|
69
|
7.0001639
|
0.0000000
|
****
|
|
LowIntermacs1
|
-0.9432049
|
0.2973039
|
69
|
-3.1725279
|
0.0022566
|
**
|
|
Time1
|
0.5846573
|
0.6171169
|
69
|
0.9474012
|
0.3467406
|
|
|
Time2
|
-0.0721760
|
0.6703347
|
69
|
-0.1076716
|
0.9145687
|
|
|
Time3
|
-0.5655510
|
0.6288525
|
69
|
-0.8993381
|
0.3716005
|
|
|
Time4
|
1.5725740
|
0.7259856
|
69
|
2.1661228
|
0.0337595
|
|
|
Time5
|
-0.5928189
|
0.5865739
|
69
|
-1.0106465
|
0.3157166
|
|
|
Time6
|
-0.5021760
|
0.9084865
|
69
|
-0.5527611
|
0.5822134
|
|
|
LowIntermacs1:Time1
|
-0.6042951
|
0.6171169
|
69
|
-0.9792230
|
0.3308907
|
|
|
LowIntermacs1:Time2
|
-0.8877951
|
0.6703347
|
69
|
-1.3244056
|
0.1897386
|
|
|
LowIntermacs1:Time3
|
0.1738299
|
0.6288525
|
69
|
0.2764240
|
0.7830487
|
|
|
LowIntermacs1:Time4
|
-0.6630451
|
0.7259856
|
69
|
-0.9133033
|
0.3642633
|
|
|
LowIntermacs1:Time5
|
0.2905621
|
0.5865739
|
69
|
0.4953546
|
0.6219238
|
|
|
LowIntermacs1:Time6
|
0.9742049
|
0.9084865
|
69
|
1.0723384
|
0.2873043
|
|
CD19+CD268+ | Survival
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
CD19+CD268+
|
Survival
|
Survival
|
0.5237235
|
1
|
0.4692576
|
0.7744448
|
1.0000000
|
|
|
CD19+CD268+
|
Survival
|
Time
|
21.4396868
|
6
|
0.0015290
|
0.0839597
|
0.1170453
|
**
|
|
CD19+CD268+
|
Survival
|
Survival:Time
|
12.0549575
|
5
|
0.0340424
|
0.4080218
|
0.5885059
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
77.3857047
|
8.550443
|
50.29588
|
9.0504906
|
0.0000000
|
****
|
|
Survival1
|
-6.2297081
|
8.608285
|
51.05594
|
-0.7236874
|
0.4725605
|
|
|
Time1
|
1.2586721
|
6.558233
|
55.54771
|
0.1919225
|
0.8485028
|
|
|
Time2
|
6.8753969
|
7.022070
|
55.85850
|
0.9791125
|
0.3317461
|
|
|
Time3
|
-3.5152345
|
6.503761
|
55.63135
|
-0.5404926
|
0.5910148
|
|
|
Time4
|
-5.0732303
|
6.666546
|
55.57442
|
-0.7609983
|
0.4498751
|
|
|
Time5
|
-10.1390779
|
6.423775
|
55.64638
|
-1.5783676
|
0.1201496
|
|
|
Time6
|
-8.5954800
|
4.015982
|
55.47965
|
-2.1403184
|
0.0367401
|
|
|
Survival1:Time1
|
0.1192086
|
6.703563
|
55.50917
|
0.0177829
|
0.9858758
|
|
|
Survival1:Time2
|
-0.1157145
|
7.192986
|
55.82665
|
-0.0160871
|
0.9872222
|
|
|
Survival1:Time3
|
9.5012717
|
6.746371
|
55.68241
|
1.4083530
|
0.1645858
|
|
|
Survival1:Time4
|
3.6537040
|
6.873994
|
55.48443
|
0.5315256
|
0.5971763
|
|
|
Survival1:Time5
|
10.9846681
|
6.603540
|
55.64891
|
1.6634514
|
0.1018445
|
|
CD19+CD5+CD11b+ | VAD.Indication
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
CD19+CD5+CD11b+
|
VAD.Indication
|
VAD.Indication
|
1.91482
|
1
|
0.1664289
|
0.6243197
|
0.7942120
|
|
|
CD19+CD5+CD11b+
|
VAD.Indication
|
Time
|
21.35859
|
6
|
0.0015813
|
0.0847528
|
0.1170453
|
**
|
|
CD19+CD5+CD11b+
|
VAD.Indication
|
VAD.Indication:Time
|
16.83455
|
6
|
0.0099109
|
0.2446299
|
0.4469460
|
**
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
7.9968359
|
2.110445
|
18.75340
|
3.7891699
|
0.0012641
|
**
|
|
VAD.Indication1
|
-2.9203711
|
2.110445
|
18.75340
|
-1.3837701
|
0.1826791
|
|
|
Time1
|
-2.9840791
|
1.437235
|
55.44344
|
-2.0762634
|
0.0425182
|
|
|
Time2
|
-3.7424834
|
1.774888
|
56.60214
|
-2.1085745
|
0.0394194
|
|
|
Time3
|
-2.6176766
|
1.571916
|
55.86312
|
-1.6652772
|
0.1014567
|
|
|
Time4
|
-0.8754918
|
1.695334
|
55.98904
|
-0.5164125
|
0.6076001
|
|
|
Time5
|
3.2240295
|
1.402625
|
55.24299
|
2.2985690
|
0.0253372
|
|
|
Time6
|
1.0255516
|
1.977519
|
56.03007
|
0.5186052
|
0.6060783
|
|
|
VAD.Indication1:Time1
|
3.3106546
|
1.437235
|
55.44344
|
2.3034882
|
0.0250253
|
|
|
VAD.Indication1:Time2
|
0.3952206
|
1.774888
|
56.60214
|
0.2226735
|
0.8245912
|
|
|
VAD.Indication1:Time3
|
2.6404233
|
1.571916
|
55.86312
|
1.6797478
|
0.0985913
|
.
|
|
VAD.Indication1:Time4
|
2.2117152
|
1.695334
|
55.98904
|
1.3045894
|
0.1973699
|
|
|
VAD.Indication1:Time5
|
-1.8530160
|
1.402625
|
55.24299
|
-1.3211061
|
0.1919121
|
|
|
VAD.Indication1:Time6
|
-0.7114396
|
1.977519
|
56.03007
|
-0.3597637
|
0.7203763
|
|
IL-5 | LowIntermacs
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
IL-5
|
LowIntermacs
|
LowIntermacs
|
9.968715
|
1
|
0.0015922
|
0.0849134
|
0.1170453
|
**
|
|
IL-5
|
LowIntermacs
|
Time
|
5.213550
|
4
|
0.2660793
|
0.6811998
|
0.8438190
|
|
|
IL-5
|
LowIntermacs
|
LowIntermacs:Time
|
11.797739
|
4
|
0.0189205
|
0.3276987
|
0.5885059
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
10.249174
|
2.270314
|
50.69030
|
4.514430
|
0.0000380
|
****
|
|
LowIntermacs1
|
-7.168126
|
2.270314
|
50.69030
|
-3.157327
|
0.0026812
|
**
|
|
Time1
|
-6.021193
|
2.720645
|
49.36927
|
-2.213149
|
0.0315398
|
|
|
Time3
|
-4.095569
|
2.747092
|
49.66254
|
-1.490874
|
0.1423193
|
|
|
Time5
|
-3.732713
|
2.720645
|
49.36927
|
-1.371995
|
0.1762674
|
|
|
Time8
|
-4.198132
|
2.747092
|
49.66254
|
-1.528209
|
0.1328054
|
|
|
LowIntermacs1:Time1
|
6.241144
|
2.720645
|
49.36927
|
2.293994
|
0.0260839
|
|
|
LowIntermacs1:Time3
|
7.862230
|
2.747092
|
49.66254
|
2.862019
|
0.0061466
|
**
|
|
LowIntermacs1:Time5
|
8.177498
|
2.720645
|
49.36927
|
3.005720
|
0.0041567
|
**
|
|
LowIntermacs1:Time8
|
6.540468
|
2.747092
|
49.66254
|
2.380870
|
0.0211494
|
|
CD27-IgD+ mature naive | AgeGreater60
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
CD27-IgD+ mature naive
|
AgeGreater60
|
AgeGreater60
|
0.1101225
|
1
|
0.7400047
|
0.8441039
|
1.0000000
|
|
|
CD27-IgD+ mature naive
|
AgeGreater60
|
Time
|
21.2315568
|
6
|
0.0016669
|
0.0859702
|
0.2201208
|
**
|
|
CD27-IgD+ mature naive
|
AgeGreater60
|
AgeGreater60:Time
|
16.1873437
|
6
|
0.0127830
|
0.2723265
|
0.4469460
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
46.5140046
|
3.819353
|
18.37019
|
12.1785044
|
0.0000000
|
****
|
|
AgeGreater601
|
-1.2674413
|
3.819353
|
18.37019
|
-0.3318471
|
0.7437609
|
|
|
Time1
|
4.1049996
|
1.882829
|
54.48557
|
2.1802295
|
0.0335785
|
|
|
Time2
|
7.6098682
|
2.183223
|
55.08195
|
3.4856114
|
0.0009714
|
***
|
|
Time3
|
-2.1372913
|
2.040535
|
54.93213
|
-1.0474172
|
0.2994941
|
|
|
Time4
|
-0.6836866
|
2.496542
|
54.77401
|
-0.2738534
|
0.7852274
|
|
|
Time5
|
-2.5629872
|
1.827057
|
54.52383
|
-1.4027953
|
0.1663467
|
|
|
Time6
|
-6.4910038
|
2.984524
|
54.83008
|
-2.1748876
|
0.0339697
|
|
|
AgeGreater601:Time1
|
0.6398920
|
1.882829
|
54.48557
|
0.3398567
|
0.7352712
|
|
|
AgeGreater601:Time2
|
1.5157353
|
2.183223
|
55.08195
|
0.6942649
|
0.4904341
|
|
|
AgeGreater601:Time3
|
-0.9355877
|
2.040535
|
54.93213
|
-0.4585012
|
0.6484013
|
|
|
AgeGreater601:Time4
|
3.5789463
|
2.496542
|
54.77401
|
1.4335613
|
0.1573814
|
|
|
AgeGreater601:Time5
|
5.4493073
|
1.827057
|
54.52383
|
2.9825598
|
0.0042680
|
**
|
|
AgeGreater601:Time6
|
-8.1113742
|
2.984524
|
54.83008
|
-2.7178119
|
0.0087786
|
**
|
G-CSF | Survival
|
variable
|
group
|
parameter
|
Chisq
|
Df
|
Pr(>Chisq)
|
qval
|
lfdr
|
stars
|
|
G-CSF
|
Survival
|
Survival
|
0.7629021
|
1
|
0.3824218
|
0.7368862
|
0.9789241
|
|
|
G-CSF
|
Survival
|
Time
|
17.1044346
|
4
|
0.0018447
|
0.0913362
|
0.3213720
|
**
|
|
G-CSF
|
Survival
|
Survival:Time
|
6.3623959
|
4
|
0.1736697
|
0.6299380
|
0.7942120
|
|
|
|
Estimate
|
Std. Error
|
df
|
t value
|
Pr(>|t|)
|
stars
|
|
(Intercept)
|
90.258056
|
26.49728
|
50.55062
|
3.4063138
|
0.0012987
|
**
|
|
Survival1
|
23.143856
|
26.49728
|
50.55062
|
0.8734427
|
0.3865523
|
|
|
Time1
|
95.399454
|
32.42302
|
49.69739
|
2.9423373
|
0.0049380
|
**
|
|
Time3
|
-18.500920
|
32.06615
|
49.42145
|
-0.5769610
|
0.5665848
|
|
|
Time5
|
-15.312156
|
32.42302
|
49.69739
|
-0.4722619
|
0.6388071
|
|
|
Time8
|
-6.183344
|
32.06615
|
49.42145
|
-0.1928309
|
0.8478817
|
|
|
Survival1:Time1
|
-68.906746
|
32.42302
|
49.69739
|
-2.1252416
|
0.0385612
|
|
|
Survival1:Time3
|
-15.419320
|
32.06615
|
49.42145
|
-0.4808597
|
0.6327383
|
|
|
Survival1:Time5
|
-6.513356
|
32.42302
|
49.69739
|
-0.2008868
|
0.8416070
|
|
|
Survival1:Time8
|
0.071856
|
32.06615
|
49.42145
|
0.0022409
|
0.9982211
|
|